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Ai has little engagement with the teachers using it because they don’t have little background in using theses tools. https://mail.cyberneticforests.com/how-does-openai-imagine-k-12-education/

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Ai has little engagement with the teachers using it because they don’t have little background in using theses tools. https://mail.cyberneticforests.com/how-does-openai-imagine-k-12-education/

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Close Reading OpenAI’s training module for educators If you’re taking a free online training, it’s helpful to understand who wrote that lesson plan and why. ChatGPT Foundations for Educators is a course created by the non-profit Common Sense Media, in partnership with AI behemoth OpenAI. In an article in

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https://www.compunnel.com/blogs/openai-in-education-personalizing-learning-with-ai-powered-insights/#:~:text=The%20Growing%20Role%20of%20AI%20in%20Education&text=By%20analyzing%20patterns%20in%20student,educators%20to%20offer%20personalized%20support.                                                              Open AI should be allowed in schools because it can make a transformative impact when helping kids learn. Open AI brings adaptability for the diverse growing community of students.

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https://www.compunnel.com/blogs/openai-in-education-personalizing-learning-with-ai-powered-insights/#:~:text=The%20Growing%20Role%20of%20AI%20in%20Education&text=By%20analyzing%20patterns%20in%20student,educators%20to%20offer%20personalized%20support.                                                              Open AI should be allowed in schools because it can make a transformative impact when helping kids learn. Open AI brings adaptability for the diverse growing community of students.

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OpenAI and the Future of Personalized Education: A Deep Dive

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Explore how OpenAI reshapes education through tailored, AI-powered learning experiences

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AI being used in a positive way, they are sending text and circiculms to a chat bot to proof read and revise papers for the teachers.  https://www.inc.com/kit-eaton/why-openais-push-into-classrooms-could-be-important-for-your-company/91021886

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AI being used in a positive way, they are sending text and circiculms to a chat bot to proof read and revise papers for the teachers.  https://www.inc.com/kit-eaton/why-openais-push-into-classrooms-could-be-important-for-your-company/91021886

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OpenAI, as the standard-bearing company of the AI revolution, is often blamed for helping students "cheat" at their homework. It's such an issue that some teachers have invented ways to outsmart students who are using the tech instead of honing their own skills, and on OpenAI's "community" website, a forum for developers to chat, there's an entire discussion on preserving "academic integrity." Now the AI maker has taken what you could describe as a proactive stance on the entire matter, and has released a free online course aimed at helping K-12 teachers integrate its chatbot tech into their classwork.

It's very much in OpenAI's interest to position itself as an educator's friend, of course, but the course may also be useful for people outside the academic establishment.

The course has been released in partnership with Common Sense Media, a nonprofit body that OpenAI joined forces with in January with a promise to "collaborate on AI guidelines and education materials." News site TechCrunch says the course is a one-hour, nine-module effort that explains the core of AI tech, and how it can be used in educational settings. The AI maker said its course has been used in "dozens" of schools so far, and its internal research found 98 percent of participants had favorable feelings about using the technology-noting it offered them new ideas for working.

It's unsurprising that a survey carried out by OpenAI itself returned such polarized, positive results. As TechCrunch reports, the true feeling among educators may be somewhat different-the site quotes teachers and other critics who question the value of the course's modules on privacy and safety, and who note that there's not much guidance on how teacher-made content may be used by OpenAI for its own purposes.

This isn't OpenAI's first appeal to educators. Early this year it released ChatGPT Edu, which is a version of its pioneering chatbot aimed at university-level staff. The company's website explains that this chatbot, powered by its powerful GPT-4o algorithms, "can reason across text and vision and use advanced tools such as data analysis," as well as including "enterprise-level security and controls." The company say the specialized AI is set at a price supposedly "affordable for educational institutions." It notes, importantly, that chats that happen through this portal are "not used to train OpenAI models," which should, hopefully, preserve students' data and any personal information they enter into the chatbot.

Nevertheless, AI use in educational establishments remains controversial. TechCrunch notes a recent Pew Research survey showed a majority of public K-12 teachers questioned were "uncertain about or see downsides to the general use of AI tools in K-12 education" and a "quarter of public K-12 teachers say using AI tools in K-12 education does more harm than good."

But what can we learn from its new guide for teachers, and why is it useful for people outside education and academics?

Quite a lot, it turns out. If your company is in the early stages of embracing AI tech, the free OpenAI course could help new staff or managers with poor IT skills come to grips with chatbot tech like ChatGPT. And while it's specifically designed to help teachers "implement best practices for applying responsible AI principles in a school setting," it could also help companies work out how to responsibly deploy AI in a workplace setting-many of the same privacy and AI reliability issues (like hallucination or deliberate misinformation in its responses) apply in the office as well as the classroom.

Releasing the course itself is also a masterclass in "controlling the narrative." While some educators will continue to express worry that AI tech will upset the current educational paradigm in a bad way, in releasing the course OpenAI is implying the "only way out is through" and that the impact AI will have on teaching is inevitable.

Further still, OpenAI may be sowing the seeds that create the first AI-native generation. Students who've always used the technology will expect it to be part of their working lives, which could be a profound influence on the look, conduct and technological expertise of the workplace of the near future.
The preferred-rate application deadline for the 2025 Inc. 5000 is this Friday, March 21, at 11:59 p.m. PT. Apply Today.

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Why OpenAI's Push Into Classrooms Could be Important For Your Company

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OpenAI addresses one of the elephants in the AI room by trying to help educators navigate an era when students can use AI to help with their work. Its handbook could help your company's thinking too.

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https://medium.com/educreation/why-chatgpt-cant-help-schools-7e294028ceca                                                                                                                          AI doesn’t help students in school, it only endorses cheating and plagiarism.

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https://medium.com/educreation/why-chatgpt-cant-help-schools-7e294028ceca                                                                                                                          AI doesn’t help students in school, it only endorses cheating and plagiarism.

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Plagiarism, the definition of the word ‘help,’ and technology training

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Open Ai is a negative tool due to the lack of education of the tools causing teachers an area of unknown when using. https://mail.cyberneticforests.com/how-does-openai-imagine-k-12-education/      Kimber 

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Open Ai is a negative tool due to the lack of education of the tools causing teachers an area of unknown when using. https://mail.cyberneticforests.com/how-does-openai-imagine-k-12-education/      Kimber 

# data[].attributes.attachment_link.description
Close Reading OpenAI’s training module for educators If you’re taking a free online training, it’s helpful to understand who wrote that lesson plan and why. ChatGPT Foundations for Educators is a course created by the non-profit Common Sense Media, in partnership with AI behemoth OpenAI. In an article in

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Ai can be used for good by medical document transcription, patient diagnosis, and drug discovery and development. This website talks about different areas of the world have been using ai for different causes.                        https://www.phoenix.edu/blog/is-ai-good-or-bad-for-society.html

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Ai can be used for good by medical document transcription, patient diagnosis, and drug discovery and development. This website talks about different areas of the world have been using ai for different causes.                        https://www.phoenix.edu/blog/is-ai-good-or-bad-for-society.html

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     Damon Burnett - The Thomson Reuters. This article strongly supports AI, highlighting its impact across various parts of the world. It emphasizes AI’s ability to enhance decision-making by processing complex data rapidly, identifying patterns that are seeming invisible to humans. Augmenting human capabilities in unprecedented ways.

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     Damon Burnett - The Thomson Reuters. This article strongly supports AI, highlighting its impact across various parts of the world. It emphasizes AI’s ability to enhance decision-making by processing complex data rapidly, identifying patterns that are seeming invisible to humans. Augmenting human capabilities in unprecedented ways.

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Best AI search engine for students and researchers trusted by over 10 million people. Get smart faster with Liner.

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Jackson Louck https://www.brookings.edu/articles/how-artificial-intelligence-is-transforming-the-world/    Ai is good at helping in automation. Ai can help figure out risks in loans. Ai is good 👍 

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Jackson Louck https://www.brookings.edu/articles/how-artificial-intelligence-is-transforming-the-world/    Ai is good at helping in automation. Ai can help figure out risks in loans. Ai is good 👍 

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Research

Most people are not very familiar with the concept of artificial intelligence (AI). As an illustration, when 1,500 senior business leaders in the United States in 2017 were asked about AI, only 17 percent said they were familiar with it. ¹ A number of them were not sure what it was or how it would affect their particular companies. They understood there was considerable potential for altering business processes, but were not clear how AI could be deployed within their own organizations.

Despite its widespread lack of familiarity, AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decisionmaking. Our hope through this comprehensive overview is to explain AI to an audience of policymakers, opinion leaders, and interested observers, and demonstrate how AI already is altering the world and raising important questions for society, the economy, and governance.

In this paper, we discuss novel applications in finance, national security, health care, criminal justice, transportation, and smart cities, and address issues such as data access problems, algorithmic bias, AI ethics and transparency, and legal liability for AI decisions. We contrast the regulatory approaches of the U.S. and European Union, and close by making a number of recommendations for getting the most out of AI while still protecting important human values. ²

In order to maximize AI benefits, we recommend nine steps for going forward:

Encourage greater data access for researchers without compromising users' personal privacy,

invest more government funding in unclassified AI research,

promote new models of digital education and AI workforce development so employees have the skills needed in the 21st-century economy,

create a federal AI advisory committee to make policy recommendations,

engage with state and local officials so they enact effective policies,

regulate broad AI principles rather than specific algorithms,

take bias complaints seriously so AI does not replicate historic injustice, unfairness, or discrimination in data or algorithms,

maintain mechanisms for human oversight and control, and

penalize malicious AI behavior and promote cybersecurity.

Intentionality

Artificial intelligence algorithms are designed to make decisions, often using real-time data. They are unlike passive machines that are capable only of mechanical or predetermined responses. Using sensors, digital data, or remote inputs, they combine information from a variety of different sources, analyze the material instantly, and act on the insights derived from those data. With massive improvements in storage systems, processing speeds, and analytic techniques, they are capable of tremendous sophistication in analysis and decisionmaking.

Artificial intelligence is already altering the world and raising important questions for society, the economy, and governance.

Intelligence

AI generally is undertaken in conjunction with machine learning and data analytics. ⁵ Machine learning takes data and looks for underlying trends. If it spots something that is relevant for a practical problem, software designers can take that knowledge and use it to analyze specific issues. All that is required are data that are sufficiently robust that algorithms can discern useful patterns. Data can come in the form of digital information, satellite imagery, visual information, text, or unstructured data.

Adaptability

AI systems have the ability to learn and adapt as they make decisions. In the transportation area, for example, semi-autonomous vehicles have tools that let drivers and vehicles know about upcoming congestion, potholes, highway construction, or other possible traffic impediments. Vehicles can take advantage of the experience of other vehicles on the road, without human involvement, and the entire corpus of their achieved "experience" is immediately and fully transferable to other similarly configured vehicles. Their advanced algorithms, sensors, and cameras incorporate experience in current operations, and use dashboards and visual displays to present information in real time so human drivers are able to make sense of ongoing traffic and vehicular conditions. And in the case of fully autonomous vehicles, advanced systems can completely control the car or truck, and make all the navigational decisions.

AI is not a futuristic vision, but rather something that is here today and being integrated with and deployed into a variety of sectors. This includes fields such as finance, national security, health care, criminal justice, transportation, and smart cities. There are numerous examples where AI already is making an impact on the world and augmenting human capabilities in significant ways. ⁶

One of the reasons for the growing role of AI is the tremendous opportunities for economic development that it presents. A project undertaken by PriceWaterhouseCoopers estimated that "artificial intelligence technologies could increase global GDP by $15.7 trillion, a full 14%, by 2030." ⁷ That includes advances of $7 trillion in China, $3.7 trillion in North America, $1.8 trillion in Northern Europe, $1.2 trillion for Africa and Oceania, $0.9 trillion in the rest of Asia outside of China, $0.7 trillion in Southern Europe, and $0.5 trillion in Latin America. China is making rapid strides because it has set a national goal of investing $150 billion in AI and becoming the global leader in this area by 2030.

Meanwhile, a McKinsey Global Institute study of China found that "AI-led automation can give the Chinese economy a productivity injection that would add 0.8 to 1.4 percentage points to GDP growth annually, depending on the speed of adoption." ⁸ Although its authors found that China currently lags the United States and the United Kingdom in AI deployment, the sheer size of its AI market gives that country tremendous opportunities for pilot testing and future development.

Finance

Investments in financial AI in the United States tripled between 2013 and 2014 to a total of $12.2 billion.⁹ According to observers in that sector, "Decisions about loans are now being made by software that can take into account a variety of finely parsed data about a borrower, rather than just a credit score and a background check."¹⁰ In addition, there are so-called robo-advisers that "create personalized investment portfolios, obviating the need for stockbrokers and financial advisers."¹¹ These advances are designed to take the emotion out of investing and undertake decisions based on analytical considerations, and make these choices in a matter of minutes.

Fraud detection represents another way AI is helpful in financial systems. It sometimes is difficult to discern fraudulent activities in large organizations, but AI can identify abnormalities, outliers, or deviant cases requiring additional investigation. That helps managers find problems early in the cycle, before they reach dangerous levels. ¹⁴

National security

Artificial intelligence will accelerate the traditional process of warfare so rapidly that a new term has been coined: hyperwar.

The big data analytics associated with AI will profoundly affect intelligence analysis, as massive amounts of data are sifted in near real time-if not eventually in real time-thereby providing commanders and their staffs a level of intelligence analysis and productivity heretofore unseen. Command and control will similarly be affected as human commanders delegate certain routine, and in special circumstances, key decisions to AI platforms, reducing dramatically the time associated with the decision and subsequent action. In the end, warfare is a time competitive process, where the side able to decide the fastest and move most quickly to execution will generally prevail. Indeed, artificially intelligent intelligence systems, tied to AI-assisted command and control systems, can move decision support and decisionmaking to a speed vastly superior to the speeds of the traditional means of waging war. So fast will be this process, especially if coupled to automatic decisions to launch artificially intelligent autonomous weapons systems capable of lethal outcomes, that a new term has been coined specifically to embrace the speed at which war will be waged: hyperwar.

While the ethical and legal debate is raging over whether America will ever wage war with artificially intelligent autonomous lethal systems, the Chinese and Russians are not nearly so mired in this debate, and we should anticipate our need to defend against these systems operating at hyperwar speeds. The challenge in the West of where to position "humans in the loop" in a hyperwar scenario will ultimately dictate the West's capacity to be competitive in this new form of conflict. ¹⁷

Just as AI will profoundly affect the speed of warfare, the proliferation of zero day or zero second cyber threats as well as polymorphic malware will challenge even the most sophisticated signature-based cyber protection. This forces significant improvement to existing cyber defenses. Increasingly, vulnerable systems are migrating, and will need to shift to a layered approach to cybersecurity with cloud-based, cognitive AI platforms. This approach moves the community toward a "thinking" defensive capability that can defend networks through constant training on known threats. This capability includes DNA-level analysis of heretofore unknown code, with the possibility of recognizing and stopping inbound malicious code by recognizing a string component of the file. This is how certain key U.S.-based systems stopped the debilitating "WannaCry" and "Petya" viruses.

Preparing for hyperwar and defending critical cyber networks must become a high priority because China, Russia, North Korea, and other countries are putting substantial resources into AI. In 2017, China's State Council issued a plan for the country to "build a domestic industry worth almost $150 billion" by 2030.¹⁸ As an example of the possibilities, the Chinese search firm Baidu has pioneered a facial recognition application that finds missing people. In addition, cities such as Shenzhen are providing up to $1 million to support AI labs. That country hopes AI will provide security, combat terrorism, and improve speech recognition programs.¹⁹ The dual-use nature of many AI algorithms will mean AI research focused on one sector of society can be rapidly modified for use in the security sector as well.²⁰

Health care

AI tools are helping designers improve computational sophistication in health care. For example, Merantix is a German company that applies deep learning to medical issues. It has an application in medical imaging that "detects lymph nodes in the human body in Computer Tomography (CT) images." ²¹ According to its developers, the key is labeling the nodes and identifying small lesions or growths that could be problematic. Humans can do this, but radiologists charge $100 per hour and may be able to carefully read only four images an hour. If there were 10,000 images, the cost of this process would be $250,000, which is prohibitively expensive if done by humans.

What deep learning can do in this situation is train computers on data sets to learn what a normal-looking versus an irregular-appearing lymph node is. After doing that through imaging exercises and honing the accuracy of the labeling, radiological imaging specialists can apply this knowledge to actual patients and determine the extent to which someone is at risk of cancerous lymph nodes. Since only a few are likely to test positive, it is a matter of identifying the unhealthy versus healthy node.

AI has been applied to congestive heart failure as well, an illness that afflicts 10 percent of senior citizens and costs $35 billion each year in the United States. AI tools are helpful because they "predict in advance potential challenges ahead and allocate resources to patient education, sensing, and proactive interventions that keep patients out of the hospital." ²²

Criminal justice

AI is being deployed in the criminal justice area. The city of Chicago has developed an AI-driven "Strategic Subject List" that analyzes people who have been arrested for their risk of becoming future perpetrators. It ranks 400,000 people on a scale of 0 to 500, using items such as age, criminal activity, victimization, drug arrest records, and gang affiliation. In looking at the data, analysts found that youth is a strong predictor of violence, being a shooting victim is associated with becoming a future perpetrator, gang affiliation has little predictive value, and drug arrests are not significantly associated with future criminal activity. ²³

Judicial experts claim AI programs reduce human bias in law enforcement and leads to a fairer sentencing system. R Street Institute Associate Caleb Watney writes:

Empirically grounded questions of predictive risk analysis play to the strengths of machine learning, automated reasoning and other forms of AI. One machine-learning policy simulation concluded that such programs could be used to cut crime up to 24.8 percent with no change in jailing rates, or reduce jail populations by up to 42 percent with no increase in crime rates. ²⁴

However, critics worry that AI algorithms represent "a secret system to punish citizens for crimes they haven't yet committed. The risk scores have been used numerous times to guide large-scale roundups." ²⁵ The fear is that such tools target people of color unfairly and have not helped Chicago reduce the murder wave that has plagued it in recent years.

Transportation

Transportation represents an area where AI and machine learning are producing major innovations. Research by Cameron Kerry and Jack Karsten of the Brookings Institution has found that over $80 billion was invested in autonomous vehicle technology between August 2014 and June 2017. Those investments include applications both for autonomous driving and the core technologies vital to that sector. ²⁸

Autonomous vehicles-cars, trucks, buses, and drone delivery systems-use advanced technological capabilities. Those features include automated vehicle guidance and braking, lane-changing systems, the use of cameras and sensors for collision avoidance, the use of AI to analyze information in real time, and the use of high-performance computing and deep learning systems to adapt to new circumstances through detailed maps. ²⁹

Light detection and ranging systems (LIDARs) and AI are key to navigation and collision avoidance. LIDAR systems combine light and radar instruments. They are mounted on the top of vehicles that use imaging in a 360-degree environment from a radar and light beams to measure the speed and distance of surrounding objects. Along with sensors placed on the front, sides, and back of the vehicle, these instruments provide information that keeps fast-moving cars and trucks in their own lane, helps them avoid other vehicles, applies brakes and steering when needed, and does so instantly so as to avoid accidents.

Advanced software enables cars to learn from the experiences of other vehicles on the road and adjust their guidance systems as weather, driving, or road conditions change. This means that software is the key-not the physical car or truck itself.

Ride-sharing companies are very interested in autonomous vehicles. They see advantages in terms of customer service and labor productivity. All of the major ride-sharing companies are exploring driverless cars. The surge of car-sharing and taxi services-such as Uber and Lyft in the United States, Daimler's Mytaxi and Hailo service in Great Britain, and Didi Chuxing in China-demonstrate the opportunities of this transportation option. Uber recently signed an agreement to purchase 24,000 autonomous cars from Volvo for its ride-sharing service. ³²

However, the ride-sharing firm suffered a setback in March 2018 when one of its autonomous vehicles in Arizona hit and killed a pedestrian. Uber and several auto manufacturers immediately suspended testing and launched investigations into what went wrong and how the fatality could have occurred. ³³ Both industry and consumers want reassurance that the technology is safe and able to deliver on its stated promises. Unless there are persuasive answers, this accident could slow AI advancements in the transportation sector.

Smart cities

Metropolitan governments are using AI to improve urban service delivery. For example, according to Kevin Desouza, Rashmi Krishnamurthy, and Gregory Dawson:

The Cincinnati Fire Department is using data analytics to optimize medical emergency responses. The new analytics system recommends to the dispatcher an appropriate response to a medical emergency call-whether a patient can be treated on-site or needs to be taken to the hospital-by taking into account several factors, such as the type of call, location, weather, and similar calls. ³⁴

Since it fields 80,000 requests each year, Cincinnati officials are deploying this technology to prioritize responses and determine the best ways to handle emergencies. They see AI as a way to deal with large volumes of data and figure out efficient ways of responding to public requests. Rather than address service issues in an ad hoc manner, authorities are trying to be proactive in how they provide urban services.

Cincinnati is not alone. A number of metropolitan areas are adopting smart city applications that use AI to improve service delivery, environmental planning, resource management, energy utilization, and crime prevention, among other things. For its smart cities index, the magazine Fast Company ranked American locales and found Seattle, Boston, San Francisco, Washington, D.C., and New York City as the top adopters. Seattle, for example, has embraced sustainability and is using AI to manage energy usage and resource management. Boston has launched a "City Hall To Go" that makes sure underserved communities receive needed public services. It also has deployed "cameras and inductive loops to manage traffic and acoustic sensors to identify gun shots." San Francisco has certified 203 buildings as meeting LEED sustainability standards. ³⁵

Through these and other means, metropolitan areas are leading the country in the deployment of AI solutions. Indeed, according to a National League of Cities report, 66 percent of American cities are investing in smart city technology. Among the top applications noted in the report are "smart meters for utilities, intelligent traffic signals, e-governance applications, Wi-Fi kiosks, and radio frequency identification sensors in pavement." ³⁶

These examples from a variety of sectors demonstrate how AI is transforming many walks of human existence. The increasing penetration of AI and autonomous devices into many aspects of life is altering basic operations and decisionmaking within organizations, and improving efficiency and response times.

At the same time, though, these developments raise important policy, regulatory, and ethical issues. For example, how should we promote data access? How do we guard against biased or unfair data used in algorithms? What types of ethical principles are introduced through software programming, and how transparent should designers be about their choices? What about questions of legal liability in cases where algorithms cause harm? ³⁷

The increasing penetration of AI into many aspects of life is altering decisionmaking within organizations and improving efficiency. At the same time, though, these developments raise important policy, regulatory, and ethical issues.

Data access problems

The key to getting the most out of AI is having a "data-friendly ecosystem with unified standards and cross-platform sharing." AI depends on data that can be analyzed in real time and brought to bear on concrete problems. Having data that are "accessible for exploration" in the research community is a prerequisite for successful AI development. ³⁸

According to a McKinsey Global Institute study, nations that promote open data sources and data sharing are the ones most likely to see AI advances. In this regard, the United States has a substantial advantage over China. Global ratings on data openness show that U.S. ranks eighth overall in the world, compared to 93 for China. ³⁹

But right now, the United States does not have a coherent national data strategy. There are few protocols for promoting research access or platforms that make it possible to gain new insights from proprietary data. It is not always clear who owns data or how much belongs in the public sphere. These uncertainties limit the innovation economy and act as a drag on academic research. In the following section, we outline ways to improve data access for researchers.

Biases in data and algorithms

Racial issues also come up with facial recognition software. Most such systems operate by comparing a person's face to a range of faces in a large database. As pointed out by Joy Buolamwini of the Algorithmic Justice League, "If your facial recognition data contains mostly Caucasian faces, that's what your program will learn to recognize." ⁴² Unless the databases have access to diverse data, these programs perform poorly when attempting to recognize African-American or Asian-American features.

Many historical data sets reflect traditional values, which may or may not represent the preferences wanted in a current system. As Buolamwini notes, such an approach risks repeating inequities of the past:

The rise of automation and the increased reliance on algorithms for high-stakes decisions such as whether someone get insurance or not, your likelihood to default on a loan or somebody's risk of recidivism means this is something that needs to be addressed. Even admissions decisions are increasingly automated-what school our children go to and what opportunities they have. We don't have to bring the structural inequalities of the past into the future we create. ⁴³

AI ethics and transparency

Algorithms embed ethical considerations and value choices into program decisions. As such, these systems raise questions concerning the criteria used in automated decisionmaking. Some people want to have a better understanding of how algorithms function and what choices are being made. ⁴⁴

In the United States, many urban schools use algorithms for enrollment decisions based on a variety of considerations, such as parent preferences, neighborhood qualities, income level, and demographic background. According to Brookings researcher Jon Valant, the New Orleans-based Bricolage Academy "gives priority to economically disadvantaged applicants for up to 33 percent of available seats. In practice, though, most cities have opted for categories that prioritize siblings of current students, children of school employees, and families that live in school's broad geographic area." ⁴⁵ Enrollment choices can be expected to be very different when considerations of this sort come into play.

Depending on how AI systems are set up, they can facilitate the redlining of mortgage applications, help people discriminate against individuals they don't like, or help screen or build rosters of individuals based on unfair criteria. The types of considerations that go into programming decisions matter a lot in terms of how the systems operate and how they affect customers. ⁴⁶

For these reasons, the EU is implementing the General Data Protection Regulation (GDPR) in May 2018. The rules specify that people have "the right to opt out of personally tailored ads" and "can contest 'legal or similarly significant' decisions made by algorithms and appeal for human intervention" in the form of an explanation of how the algorithm generated a particular outcome. Each guideline is designed to ensure the protection of personal data and provide individuals with information on how the "black box" operates. ⁴⁷

Legal liability

There are questions concerning the legal liability of AI systems. If there are harms or infractions (or fatalities in the case of driverless cars), the operators of the algorithm likely will fall under product liability rules. A body of case law has shown that the situation's facts and circumstances determine liability and influence the kind of penalties that are imposed. Those can range from civil fines to imprisonment for major harms. ⁴⁸ The Uber-related fatality in Arizona will be an important test case for legal liability. The state actively recruited Uber to test its autonomous vehicles and gave the company considerable latitude in terms of road testing. It remains to be seen if there will be lawsuits in this case and who is sued: the human backup driver, the state of Arizona, the Phoenix suburb where the accident took place, Uber, software developers, or the auto manufacturer. Given the multiple people and organizations involved in the road testing, there are many legal questions to be resolved.

In non-transportation areas, digital platforms often have limited liability for what happens on their sites. For example, in the case of Airbnb, the firm "requires that people agree to waive their right to sue, or to join in any class-action lawsuit or class-action arbitration, to use the service." By demanding that its users sacrifice basic rights, the company limits consumer protections and therefore curtails the ability of people to fight discrimination arising from unfair algorithms. ⁴⁹ But whether the principle of neutral networks holds up in many sectors is yet to be determined on a widespread basis.

In order to balance innovation with basic human values, we propose a number of recommendations for moving forward with AI. This includes improving data access, increasing government investment in AI, promoting AI workforce development, creating a federal advisory committee, engaging with state and local officials to ensure they enact effective policies, regulating broad objectives as opposed to specific algorithms, taking bias seriously as an AI issue, maintaining mechanisms for human control and oversight, and penalizing malicious behavior and promoting cybersecurity.

Improving data access

The United States should develop a data strategy that promotes innovation and consumer protection. Right now, there are no uniform standards in terms of data access, data sharing, or data protection. Almost all the data are proprietary in nature and not shared very broadly with the research community, and this limits innovation and system design. AI requires data to test and improve its learning capacity. ⁵⁰ Without structured and unstructured data sets, it will be nearly impossible to gain the full benefits of artificial intelligence.

In general, the research community needs better access to government and business data, although with appropriate safeguards to make sure researchers do not misuse data in the way Cambridge Analytica did with Facebook information. There is a variety of ways researchers could gain data access. One is through voluntary agreements with companies holding proprietary data. Facebook, for example, recently announced a partnership with Stanford economist Raj Chetty to use its social media data to explore inequality. ⁵¹ As part of the arrangement, researchers were required to undergo background checks and could only access data from secured sites in order to protect user privacy and security.

In the U.S., there are no uniform standards in terms of data access, data sharing, or data protection. Almost all the data are proprietary in nature and not shared very broadly with the research community, and this limits innovation and system design.

Google long has made available search results in aggregated form for researchers and the general public. Through its "Trends" site, scholars can analyze topics such as interest in Trump, views about democracy, and perspectives on the overall economy. ⁵² That helps people track movements in public interest and identify topics that galvanize the general public.

Twitter makes much of its tweets available to researchers through application programming interfaces, commonly referred to as APIs. These tools help people outside the company build application software and make use of data from its social media platform. They can study patterns of social media communications and see how people are commenting on or reacting to current events.

In some sectors where there is a discernible public benefit, governments can facilitate collaboration by building infrastructure that shares data. For example, the National Cancer Institute has pioneered a data-sharing protocol where certified researchers can query health data it has using de-identified information drawn from clinical data, claims information, and drug therapies. That enables researchers to evaluate efficacy and effectiveness, and make recommendations regarding the best medical approaches, without compromising the privacy of individual patients.

There could be public-private data partnerships that combine government and business data sets to improve system performance. For example, cities could integrate information from ride-sharing services with its own material on social service locations, bus lines, mass transit, and highway congestion to improve transportation. That would help metropolitan areas deal with traffic tie-ups and assist in highway and mass transit planning.

Increase government investment in AI

Promote digital education and workforce development

As AI applications accelerate across many sectors, it is vital that we reimagine our educational institutions for a world where AI will be ubiquitous and students need a different kind of training than they currently receive. Right now, many students do not receive instruction in the kinds of skills that will be needed in an AI-dominated landscape. For example, there currently are shortages of data scientists, computer scientists, engineers, coders, and platform developers. These are skills that are in short supply; unless our educational system generates more people with these capabilities, it will limit AI development.

For these reasons, both state and federal governments have been investing in AI human capital. For example, in 2017, the National Science Foundation funded over 6,500 graduate students in computer-related fields and has launched several new initiatives designed to encourage data and computer science at all levels from pre-K to higher and continuing education. ⁵⁷ The goal is to build a larger pipeline of AI and data analytic personnel so that the United States can reap the full advantages of the knowledge revolution.

But there also needs to be substantial changes in the process of learning itself. It is not just technical skills that are needed in an AI world but skills of critical reasoning, collaboration, design, visual display of information, and independent thinking, among others. AI will reconfigure how society and the economy operate, and there needs to be "big picture" thinking on what this will mean for ethics, governance, and societal impact. People will need the ability to think broadly about many questions and integrate knowledge from a number of different areas.

One example of new ways to prepare students for a digital future is IBM's Teacher Advisor program, utilizing Watson's free online tools to help teachers bring the latest knowledge into the classroom. They enable instructors to develop new lesson plans in STEM and non-STEM fields, find relevant instructional videos, and help students get the most out of the classroom. ⁵⁸ As such, they are precursors of new educational environments that need to be created.

Create a federal AI advisory committee

Federal officials need to think about how they deal with artificial intelligence. As noted previously, there are many issues ranging from the need for improved data access to addressing issues of bias and discrimination. It is vital that these and other concerns be considered so we gain the full benefits of this emerging technology.

In order to move forward in this area, several members of Congress have introduced the "Future of Artificial Intelligence Act," a bill designed to establish broad policy and legal principles for AI. It proposes the secretary of commerce create a federal advisory committee on the development and implementation of artificial intelligence. The legislation provides a mechanism for the federal government to get advice on ways to promote a "climate of investment and innovation to ensure the global competitiveness of the United States," "optimize the development of artificial intelligence to address the potential growth, restructuring, or other changes in the United States workforce," "support the unbiased development and application of artificial intelligence," and "protect the privacy rights of individuals." ⁵⁹

Among the specific questions the committee is asked to address include the following: competitiveness, workforce impact, education, ethics training, data sharing, international cooperation, accountability, machine learning bias, rural impact, government efficiency, investment climate, job impact, bias, and consumer impact. The committee is directed to submit a report to Congress and the administration 540 days after enactment regarding any legislative or administrative action needed on AI.

This legislation is a step in the right direction, although the field is moving so rapidly that we would recommend shortening the reporting timeline from 540 days to 180 days. Waiting nearly two years for a committee report will certainly result in missed opportunities and a lack of action on important issues. Given rapid advances in the field, having a much quicker turnaround time on the committee analysis would be quite beneficial.

Engage with state and local officials

According to the legislation's developers, city officials want to know how these algorithms work and make sure there is sufficient AI transparency and accountability. In addition, there is concern regarding the fairness and biases of AI algorithms, so the taskforce has been directed to analyze these issues and make recommendations regarding future usage. It is scheduled to report back to the mayor on a range of AI policy, legal, and regulatory issues by late 2019.

Some observers already are worrying that the taskforce won't go far enough in holding algorithms accountable. For example, Julia Powles of Cornell Tech and New York University argues that the bill originally required companies to make the AI source code available to the public for inspection, and that there be simulations of its decisionmaking using actual data. After criticism of those provisions, however, former Councilman James Vacca dropped the requirements in favor of a task force studying these issues. He and other city officials were concerned that publication of proprietary information on algorithms would slow innovation and make it difficult to find AI vendors who would work with the city. ⁶² It remains to be seen how this local task force will balance issues of innovation, privacy, and transparency.

Regulate broad objectives more than specific algorithms

The GDPR being implemented in Europe place severe restrictions on the use of artificial intelligence and machine learning. According to published guidelines, "Regulations prohibit any automated decision that 'significantly affects' EU citizens. This includes techniques that evaluates a person's 'performance at work, economic situation, health, personal preferences, interests, reliability, behavior, location, or movements.'" ⁶⁵ In addition, these new rules give citizens the right to review how digital services made specific algorithmic choices affecting people.

By taking a restrictive stance on issues of data collection and analysis, the European Union is putting its manufacturers and software designers at a significant disadvantage to the rest of the world.

If interpreted stringently, these rules will make it difficult for European software designers (and American designers who work with European counterparts) to incorporate artificial intelligence and high-definition mapping in autonomous vehicles. Central to navigation in these cars and trucks is tracking location and movements. Without high-definition maps containing geo-coded data and the deep learning that makes use of this information, fully autonomous driving will stagnate in Europe. Through this and other data protection actions, the European Union is putting its manufacturers and software designers at a significant disadvantage to the rest of the world.

It makes more sense to think about the broad objectives desired in AI and enact policies that advance them, as opposed to governments trying to crack open the "black boxes" and see exactly how specific algorithms operate. Regulating individual algorithms will limit innovation and make it difficult for companies to make use of artificial intelligence.

Take biases seriously

Bias and discrimination are serious issues for AI. There already have been a number of cases of unfair treatment linked to historic data, and steps need to be undertaken to make sure that does not become prevalent in artificial intelligence. Existing statutes governing discrimination in the physical economy need to be extended to digital platforms. That will help protect consumers and build confidence in these systems as a whole.

For these advances to be widely adopted, more transparency is needed in how AI systems operate. Andrew Burt of Immuta argues, "The key problem confronting predictive analytics is really transparency. We're in a world where data science operations are taking on increasingly important tasks, and the only thing holding them back is going to be how well the data scientists who train the models can explain what it is their models are doing." ⁶⁶

Maintaining mechanisms for human oversight and control

Some individuals have argued that there needs to be avenues for humans to exercise oversight and control of AI systems. For example, Allen Institute for Artificial Intelligence CEO Oren Etzioni argues there should be rules for regulating these systems. First, he says, AI must be governed by all the laws that already have been developed for human behavior, including regulations concerning "cyberbullying, stock manipulation or terrorist threats," as well as "entrap[ping] people into committing crimes." Second, he believes that these systems should disclose they are automated systems and not human beings. Third, he states, "An A.I. system cannot retain or disclose confidential information without explicit approval from the source of that information." ⁶⁷ His rationale is that these tools store so much data that people have to be cognizant of the privacy risks posed by AI.

In the same vein, the IEEE Global Initiative has ethical guidelines for AI and autonomous systems. Its experts suggest that these models be programmed with consideration for widely accepted human norms and rules for behavior. AI algorithms need to take into effect the importance of these norms, how norm conflict can be resolved, and ways these systems can be transparent about norm resolution. Software designs should be programmed for "nondeception" and "honesty," according to ethics experts. When failures occur, there must be mitigation mechanisms to deal with the consequences. In particular, AI must be sensitive to problems such as bias, discrimination, and fairness. ⁶⁸

A group of machine learning experts claim it is possible to automate ethical decisionmaking. Using the trolley problem as a moral dilemma, they ask the following question: If an autonomous car goes out of control, should it be programmed to kill its own passengers or the pedestrians who are crossing the street? They devised a "voting-based system" that asked 1.3 million people to assess alternative scenarios, summarized the overall choices, and applied the overall perspective of these individuals to a range of vehicular possibilities. That allowed them to automate ethical decisionmaking in AI algorithms, taking public preferences into account. ⁶⁹ This procedure, of course, does not reduce the tragedy involved in any kind of fatality, such as seen in the Uber case, but it provides a mechanism to help AI developers incorporate ethical considerations in their planning.

Penalize malicious behavior and promote cybersecurity

To summarize, the world is on the cusp of revolutionizing many sectors through artificial intelligence and data analytics. There already are significant deployments in finance, national security, health care, criminal justice, transportation, and smart cities that have altered decisionmaking, business models, risk mitigation, and system performance. These developments are generating substantial economic and social benefits.

The world is on the cusp of revolutionizing many sectors through artificial intelligence, but the way AI systems are developed need to be better understood due to the major implications these technologies will have for society as a whole.

Yet the manner in which AI systems unfold has major implications for society as a whole. It matters how policy issues are addressed, ethical conflicts are reconciled, legal realities are resolved, and how much transparency is required in AI and data analytic solutions. ⁷⁴ Human choices about software development affect the way in which decisions are made and the manner in which they are integrated into organizational routines. Exactly how these processes are executed need to be better understood because they will have substantial impact on the general public soon, and for the foreseeable future. AI may well be a revolution in human affairs, and become the single most influential human innovation in history.
Note: We appreciate the research assistance of Grace Gilberg, Jack Karsten, Hillary Schaub, and Kristjan Tomasson on this project. The Brookings Institution is a nonprofit organization devoted to independent research and policy solutions. Its mission is to conduct high-quality, independent research and, based on that research, to provide innovative, practical recommendations for policymakers and the public. The conclusions and recommendations of any Brookings publication are solely those of its author(s), and do not reflect the views of the Institution, its management, or its other scholars. Support for this publication was generously provided by Amazon. Brookings recognizes that the value it provides is in its absolute commitment to quality, independence, and impact. Activities supported by its donors reflect this commitment. John R. Allen is a member of the Board of Advisors of Amida Technology and on the Board of Directors of Spark Cognition. Both companies work in fields discussed in this piece.

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How artificial intelligence is transforming the world | Brookings

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Darrell West and John Allen examine the societal and political aspects of developing artificial intelligence technologies.

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2022 was the year that Artificial Intelligence started to gain widespread interest and public use. ChatGPT made it possible for anyone to generate lots of text based on short written prompts, and image generation tools that are based on written prompts started to both amaze and perterb people everywhere.

Since then, under the general term "Artificial Intelligence", these technologies have started to crop up in lots of online tools, including Search Engines and Web Browsers.

This page will be regularly updated to keep a track of what browsers have what "AI features" built into them, and which ones don't have any AI. Corrections and additions to these lists are very welcome.

Are there any web browsers that don't have AI?

Web Browsers that use some kind of AI

This guide will be updated regularly, as manufacturers will presumably continue to add more features. The following web browsers are known to have introduced some "AI" features.

Conclusion

This is what I've been able to find out about AI in web browsers, additions and corrections are welcome.

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Are there any web browsers that don't have AI in them?

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https://harvardindependent.com/counterpoint-why-ai-should-not-be-used-in-the-classroom/    They said that Ai undermine students learning and that Ai can hinder the growth of skills such as problem solving.   -Taylor S.

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https://harvardindependent.com/counterpoint-why-ai-should-not-be-used-in-the-classroom/    They said that Ai undermine students learning and that Ai can hinder the growth of skills such as problem solving.   -Taylor S.

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Jackson Louck https://eng.vt.edu/magazine/stories/fall-2023/ai.html ai is not always accurate and can use bad data. Could lead to increased dependence on technology which would reduce critical thinking. Ai bad 👎

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Jackson Louck https://eng.vt.edu/magazine/stories/fall-2023/ai.html ai is not always accurate and can use bad data. Could lead to increased dependence on technology which would reduce critical thinking. Ai bad 👎

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There is no denying that Artificial Intelligence has changed our lives. However, some might argue if it’s for the better.

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https://education.illinois.edu/about/news-events/news/article/2024/10/24/ai-in-schools--pros-and-cons     AI can be used to inspire and foster creativity, lend multiple perspectives, summarize existing materials, generate and reinforce lesson plans, and stimulate image creation.     -Taylor S.

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https://education.illinois.edu/about/news-events/news/article/2024/10/24/ai-in-schools--pros-and-cons     AI can be used to inspire and foster creativity, lend multiple perspectives, summarize existing materials, generate and reinforce lesson plans, and stimulate image creation.     -Taylor S.

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Generative AI has opened up a whole new world to administrators, educators, and students. The power of AI is undeniable, and understanding the pros and cons of artificial intelligence in education is essential for making informed decisions. To best use AI in schools, teachers and administrators need to know AI’s advantages and challenges.

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Trevor      Ai can help students with assignments and projects. it is a free of cost tool to help students. It is a good way to help students that learn different. https://provost.wsu.edu/benefits-of-ai/  

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Trevor      Ai can help students with assignments and projects. it is a free of cost tool to help students. It is a good way to help students that learn different. https://provost.wsu.edu/benefits-of-ai/  

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https://www.arm.com/markets/artificial-intelligence?utm_source=google&utm_medium=cpc&utm_content=text_txt_na_ai&utm_campaign=mk09_ai-                                                                                                         This website shows how AI is expanding around the world. AI is the biggest technology Revolution of our time. AI is changing the economy.

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https://www.arm.com/markets/artificial-intelligence?utm_source=google&utm_medium=cpc&utm_content=text_txt_na_ai&utm_campaign=mk09_ai-                                                                                                         This website shows how AI is expanding around the world. AI is the biggest technology Revolution of our time. AI is changing the economy.

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Arm | The Architecture for the Digital World

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Arm AI processor IP and technology solutions provide a foundation for a scalable, secure, and high-performance AI future.

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     Damon Burnett - The New York Times. The NYT has reportedly filed a lawsuit against OpenAI for copyright infringement, elleging that the company used millions of the newspaper’s articles without permission to train their AI models. They argue that OpenAI’s unlawful use of its work infringes on its copyright and seeks billions of dollars in damages. Claims that AI generated content closely resembles or verbatim reproduces their copyright material.

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     Damon Burnett - The New York Times. The NYT has reportedly filed a lawsuit against OpenAI for copyright infringement, elleging that the company used millions of the newspaper’s articles without permission to train their AI models. They argue that OpenAI’s unlawful use of its work infringes on its copyright and seeks billions of dollars in damages. Claims that AI generated content closely resembles or verbatim reproduces their copyright material.

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Meredith Sewell - This article uses a college proffesor to explain how it could be good in classrooms. It states that it is already used so much by students that it should be allowed in classrooms. It also explains that it could spark more imagination in students. https://www.gse.harvard.edu/ideas/usable-knowledge/23/07/embracing-artificial-intelligence-classroom 

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Meredith Sewell - This article uses a college proffesor to explain how it could be good in classrooms. It states that it is already used so much by students that it should be allowed in classrooms. It also explains that it could spark more imagination in students. https://www.gse.harvard.edu/ideas/usable-knowledge/23/07/embracing-artificial-intelligence-classroom 

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Although there is a huge amount of interest in generative artificial intelligence (AI) in the consumer world, particularly since the release of OpenAI's free ChatGPT program last November, in the hallowed halls of academia the response has been more wary. Concerns abound about academic integrity. There are also worries about how AI-generated content can be biased, inaccurate, and sometimes contain entirely false information, dubbed "hallucinations."

The cautious response is to be expected according to Houman Harouni, lecturer on education at the Harvard Graduate School of Education and a former elementary and high school teacher. He has compassion for educators trying to grapple with a rapidly shifting world shaped by machine learning.

"Technology creates a shock," he explains. "This shock is sometimes of a magnitude that we cannot even understand it, in the same way that we still haven't absorbed the sharp shock of the mobile phone."

Harouni has long wrestled with the impact of cutting-edge technology on education, including experimenting in his own classroom, and is convinced that when it comes to teaching "the medium is part of the message." He believes that getting school students and those in higher ed to engage with virtual worlds is essential.

"Where we want to get to is a place where you're dancing with it, dancing with robots," he says.

If the idea of waltzing with a robot creates apprehension for educators, Harouni has some advice :
1) Stop pretending that it doesn't exist
Educators must "help the next generation face the reality of the world and develop instruments and ways of navigating this reality with integrity," Harouni says. Students are well aware that technologies such as ChatGPT exist and are already experimenting with them on their own, but they need guidance about how to use them responsibly.

Teacher education and professional development programs should not ignore generative artificial intelligence either.
2) Use AI alongside your students
Engage with generative AI tools with your students in person, when possible. Otherwise, share AI-generated responses to questions during class time and ask students to consider them or have students experiment with the technology at home, document their experiences, and share them with the class.
3) Teach students how to ask the ChatGPT tool questions
"The educator's job is to understand what opportunities are left open beside the technology," Harouni says.

Teach students to do what artificial intelligence cannot do. For example, unlike robots, we can ask ourselves questions and that is what students need to be trained in: to know how to ask questions and to learn how to critique their own questions, frameworks, and the answers generated by AI, he says.

Students can start with topics and questions that they are interested in and ask ChatGPT for answers, he suggests. The knack is then getting them excited about asking follow-up questions. Harouni uses a personal experience with his 10-year-old stepdaughter and his newborn baby to illustrate his point. When his stepdaughter asked him why he kept telling her to be careful with the baby, Harouni turned to ChatGPT to help her to get to the bottom of her question.

"My creativity as the teacher or the parent at that moment is to say, 'What is it that you're really trying to ask? What is it that you really want to know?'"

While ChatGPT churned out a "whole bunch of answers about the fragility of the baby," with some patience, Harouni helped his stepdaughter discover the question that she truly wanted to ask which was what she could safely do with the new baby. "At the moment that the exploration [with AI] ends with the answer, you know that your work as a teacher begins," he explains.
4) Use generative AI tools to spark the imagination
One frequent concern about generative artificial intelligence is that students will use it to cheat and avoid the hard work of thinking for themselves, but Harouni says that tools like ChatGPT should really challenge teachers and professors to reassess the assignments they give their students.

"You have to stop thinking that you can teach exactly the way you used to teach when the basic medium has changed," he explains. If students can turn to ChatGPT or other AI language models for quick and easy answers then there is a problem with the lesson, Harouni believes.

"We have to create assignments that push [students] to the point where they have to question what is the framework that is being used here and what would it mean for me to radically change this framework," he says.

Harouni recently wrote about how he used ChatGPT to spur higher-level thinking among his students at HGSE when he presented them with a challenging case study that had no easy solutions. The students' initial responses were no better than the chatbot's ideas. Instead "it was after ChatGPT reflected to the students their failure of imagination that they could begin to think of options that they, or any automatic language scrawler, would not have readily reached for," he explained in a co-authored article for Wired.

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Embracing Artificial Intelligence in the Classroom

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Generative AI tools can reflect our failure of imagination and that is when the real learning starts

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https://www.weforum.org/stories/2024/02/why-protecting-an-open-ai-ecosystem-should-be-a-cornerstone-of-technology-regulation/   paragraph- Al is becoming more and more advanced and we need to be apart of the growing of this technology. This article is stating Ai should be used as our society is growing to. AI should be controlled but well used in our society .                                                                                                                       

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https://www.weforum.org/stories/2024/02/why-protecting-an-open-ai-ecosystem-should-be-a-cornerstone-of-technology-regulation/   paragraph- Al is becoming more and more advanced and we need to be apart of the growing of this technology. This article is stating Ai should be used as our society is growing to. AI should be controlled but well used in our society .                                                                                                                       

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https://online.uc.edu/blog/artificial-intelligence-ai-benefits/ This article talks about 9 different ways AI is effectively helping the world. One example they wrote about was transportation. Self-driving cars is reducing fuel consumption and getting people where they need to be more quickly and safely than ever before.

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https://online.uc.edu/blog/artificial-intelligence-ai-benefits/ This article talks about 9 different ways AI is effectively helping the world. One example they wrote about was transportation. Self-driving cars is reducing fuel consumption and getting people where they need to be more quickly and safely than ever before.

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9 Benefits of Artificial Intelligence (AI) in 2024

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Explore 9 key benefits of AI in 2024, from enhanced healthcare to advanced cybersecurity and economic growth

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https://online.uc.edu/blog/artificial-intelligence-ai-benefits/ This article goes over how these 9 benefits have benefitted the world over the past few years and how AI isn’t so bad and this study was conducted by the University of Cincinnati ELi Conner

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https://online.uc.edu/blog/artificial-intelligence-ai-benefits/ This article goes over how these 9 benefits have benefitted the world over the past few years and how AI isn’t so bad and this study was conducted by the University of Cincinnati ELi Conner

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9 Benefits of Artificial Intelligence (AI) in 2024

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Explore 9 key benefits of AI in 2024, from enhanced healthcare to advanced cybersecurity and economic growth

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https://builtin.com/artificial-intelligence/risks-of-artificial-intelligence                                 This website shows how dangerous AI is. AI can create bad habits. AI can also cause a lower in jobs available.

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https://builtin.com/artificial-intelligence/risks-of-artificial-intelligence                                 This website shows how dangerous AI is. AI can create bad habits. AI can also cause a lower in jobs available.

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As AI grows more sophisticated and widespread, the voices warning against the potential dangers of artificial intelligence grow louder.

"These things could get more intelligent than us and could decide to take over, and we need to worry now about how we prevent that happening," said Geoffrey Hinton, known as the "Godfather of AI" for his foundational work on machine learning and neural network algorithms. In 2023, Hinton left his position at Google so that he could " talk about the dangers of AI," noting a part of him even regrets his life's work.

The renowned computer scientist isn't alone in his concerns.

Tesla and SpaceX founder Elon Musk, along with over 1,000 other tech leaders, urged in a 2023 open letter to put a pause on large AI experiments, citing that the technology can "pose profound risks to society and humanity."

12 Dangers of AI

Questions about who's developing AI and for what purposes make it all the more essential to understand its potential downsides. Below we take a closer look at the possible dangers of artificial intelligence and explore how to manage its risks.

1. Lack of AI Transparency and Explainability

2. Job Losses Due to AI Automation

AI-powered job automation is a pressing concern as the technology is adopted in industries like marketing, manufacturing and healthcare. By 2030, tasks that account for up to 30 percent of hours currently being worked in the U.S. economy could be automated - with Black and Hispanic employees left especially vulnerable to the change - according to McKinsey. Goldman Sachs even states 300 million full-time jobs could be lost to AI automation.

"The reason we have a low unemployment rate, which doesn't actually capture people that aren't looking for work, is largely that lower-wage service sector jobs have been pretty robustly created by this economy," futurist Martin Ford told Built In. With AI on the rise, though, "I don't think that's going to continue."

"If you're flipping burgers at McDonald's and more automation comes in, is one of these new jobs going to be a good match for you?" Ford said. "Or is it likely that the new job requires lots of education or training or maybe even intrinsic talents - really strong interpersonal skills or creativity - that you might not have? Because those are the things that, at least so far, computers are not very good at."

Even professions that require graduate degrees and additional post-college training aren't immune to AI displacement.

As technology strategist Chris Messina has pointed out, fields like law and accounting are primed for an AI takeover. In fact, Messina said, some of them may well be decimated. AI already is having a significant impact on medicine. Law and accounting are next, Messina said, the former being poised for "a massive shakeup."

"Think about the complexity of contracts, and really diving in and understanding what it takes to create a perfect deal structure," he said in regards to the legal field. "It's a lot of attorneys reading through a lot of information - hundreds or thousands of pages of data and documents. It's really easy to miss things. So AI that has the ability to comb through and comprehensively deliver the best possible contract for the outcome you're trying to achieve is probably going to replace a lot of corporate attorneys."

3. Social Manipulation Through AI Algorithms

Social manipulation also stands as a danger of artificial intelligence. This fear has become a reality as politicians rely on platforms to promote their viewpoints, with one example being Ferdinand Marcos, Jr., wielding a TikTok troll army to capture the votes of younger Filipinos during the Philippines' 2022 election.

TikTok, which is just one example of a social media platform that relies on AI algorithms, fills a user's feed with content related to previous media they've viewed on the platform. Criticism of the app targets this process and the algorithm's failure to filter out harmful and inaccurate content, raising concerns over TikTok's ability to protect its users from misleading information.

"No one knows what's real and what's not," Ford said. "So it really leads to a situation where you literally cannot believe your own eyes and ears; you can't rely on what, historically, we've considered to be the best possible evidence... That's going to be a huge issue."

4. Social Surveillance With AI Technology

In addition to its more existential threat, Ford is focused on the way AI will adversely affect privacy and security. A prime example is China's use of facial recognition technology in offices, schools and other venues. Besides tracking a person's movements, the Chinese government may be able to gather enough data to monitor a person's activities, relationships and political views.

Another example is U.S. police departments embracing predictive policing algorithms to anticipate where crimes will occur. The problem is that these algorithms are influenced by arrest rates, which disproportionately impact Black communities. Police departments then double down on these communities, leading to over-policing and questions over whether self-proclaimed democracies can resist turning AI into an authoritarian weapon.

"Authoritarian regimes use or are going to use it," Ford said. "The question is, How much does it invade Western countries, democracies, and what constraints do we put on it?"

5. Lack of Data Privacy Using AI Tools

If you've played around with an AI chatbot or tried out an AI face filter online, your data is being collected - but where is it going and how is it being used? AI systems often collect personal data to customize user experiences or to help train the AI models you're using (especially if the AI tool is free). Data may not even be considered secure from other users when given to an AI system, as one bug incident that occurred with ChatGPT in 2023 " allowed some users to see titles from another active user's chat history." While there are laws present to protect personal information in some cases in the United States, there is no explicit federal law that protects citizens from data privacy harm experienced by AI.

6. Biases Due to AI

Various forms of AI bias are detrimental too. Speaking to the New York Times, Princeton computer science professor Olga Russakovsky said AI bias goes well beyond gender and race. In addition to data and algorithmic bias (the latter of which can "amplify" the former), AI is developed by humans - and humans are inherently biased.

"A.I. researchers are primarily people who are male, who come from certain racial demographics, who grew up in high socioeconomic areas, primarily people without disabilities," Russakovsky said. "We're a fairly homogeneous population, so it's a challenge to think broadly about world issues."

The limited experiences of AI creators may explain why speech-recognition AI often fails to understand certain dialects and accents, or why companies fail to consider the consequences of a chatbot impersonating notorious figures in human history. Developers and businesses should exercise greater care to avoid recreating powerful biases and prejudices that put minority populations at risk.

7. Socioeconomic Inequality as a Result of AI

Sweeping claims that AI has somehow overcome social boundaries or created more jobs fail to paint a complete picture of its effects. It's crucial to account for differences based on race, class and other categories. Otherwise, discerning how AI and automation benefit certain individuals and groups at the expense of others becomes more difficult.

8. Weakening Ethics and Goodwill Because of AI

Along with technologists, journalists and political figures, even religious leaders are sounding the alarm on AI's potential pitfalls. In a 2023 Vatican meeting and in his message for the 2024 World Day of Peace, Pope Francis called for nations to create and adopt a binding international treaty that regulates the development and use of AI.

Pope Francis warned against AI's ability to be misused, and "create statements that at first glance appear plausible but are unfounded or betray biases." He stressed how this could bolster campaigns of disinformation, distrust in communications media, interference in elections and more - ultimately increasing the risk of "fueling conflicts and hindering peace."

The rapid rise of generative AI tools gives these concerns more substance. Many users have applied the technology to get out of writing assignments, threatening academic integrity and creativity. Plus, biased AI could be used to determine whether an individual is suitable for a job, mortgage, social assistance or political asylum, producing possible injustices and discrimination, noted Pope Francis.

"The unique human capacity for moral judgment and ethical decision-making is more than a complex collection of algorithms," he said. "And that capacity cannot be reduced to programming a machine."

9. Autonomous Weapons Powered By AI

As is too often the case, technological advancements have been harnessed for the purpose of warfare. When it comes to AI, some are keen to do something about it before it's too late: In a 2016 open letter, over 30,000 individuals, including AI and robotics researchers, pushed back against the investment in AI-fueled autonomous weapons.

"The key question for humanity today is whether to start a global AI arms race or to prevent it from starting," they wrote. "If any major military power pushes ahead with AI weapon development, a global arms race is virtually inevitable, and the endpoint of this technological trajectory is obvious: autonomous weapons will become the Kalashnikovs of tomorrow."

This prediction has come to fruition in the form of Lethal Autonomous Weapon Systems, which locate and destroy targets on their own while abiding by few regulations. Because of the proliferation of potent and complex weapons, some of the world's most powerful nations have given in to anxieties and contributed to a tech cold war.

Many of these new weapons pose major risks to civilians on the ground, but the danger becomes amplified when autonomous weapons fall into the wrong hands. Hackers have mastered various types of cyber attacks, so it's not hard to imagine a malicious actor infiltrating autonomous weapons and instigating absolute armageddon.

If political rivalries and warmongering tendencies are not kept in check, artificial intelligence could end up being applied with the worst intentions. Some fear that, no matter how many powerful figures point out the dangers of artificial intelligence, we're going to keep pushing the envelope with it if there's money to be made.

"The mentality is, 'If we can do it, we should try it; let's see what happens," Messina said. "'And if we can make money off it, we'll do a whole bunch of it.' But that's not unique to technology. That's been happening forever.'"

10. Financial Crises Brought About By AI Algorithms

The financial industry has become more receptive to AI technology's involvement in everyday finance and trading processes. As a result, algorithmic trading could be responsible for our next major financial crisis in the markets.

While AI algorithms aren't clouded by human judgment or emotions, they also don't take into account contexts, the interconnectedness of markets and factors like human trust and fear. These algorithms then make thousands of trades at a blistering pace with the goal of selling a few seconds later for small profits. Selling off thousands of trades could scare investors into doing the same thing, leading to sudden crashes and extreme market volatility.

Instances like the 2010 Flash Crash and the Knight Capital Flash Crash serve as reminders of what could happen when trade-happy algorithms go berserk, regardless of whether rapid and massive trading is intentional.

11. Loss of Human Influence

12. Uncontrollable Self-Aware AI

There also comes a worry that AI will progress in intelligence so rapidly that it will become sentient, and act beyond humans' control - possibly in a malicious manner. Alleged reports of this sentience have already been occurring, with one popular account being from a former Google engineer who stated the AI chatbot LaMDA was sentient and speaking to him just as a person would. As AI's next big milestones involve making systems with artificial general intelligence, and eventually artificial superintelligence, cries to completely stop these developments continue to rise.

How to Mitigate the Risks of AI

AI still has numerous benefits, like organizing health data and powering self-driving cars. To get the most out of this promising technology, though, some argue that plenty of regulation is necessary.

"There's a serious danger that we'll get [AI systems] smarter than us fairly soon and that these things might get bad motives and take control," Hinton told NPR. "This isn't just a science fiction problem. This is a serious problem that's probably going to arrive fairly soon, and politicians need to be thinking about what to do about it now."

Develop Legal Regulations

AI regulation has been a main focus for dozens of countries, and now the U.S. and European Union are creating more clear-cut measures to manage the rising sophistication of artificial intelligence. In fact, the White House Office of Science and Technology Policy (OSTP) published the AI Bill of Rights in 2022, a document outlining to help responsibly guide AI use and development. Additionally, President Joe Biden issued an executive order in 2023 requiring federal agencies to develop new rules and guidelines for AI safety and security.

Although legal regulations mean certain AI technologies could eventually be banned, it doesn't prevent societies from exploring the field.

Ford argues that AI is essential for countries looking to innovate and keep up with the rest of the world.

"You regulate the way AI is used, but you don't hold back progress in basic technology. I think that would be wrong-headed and potentially dangerous," Ford said. "We decide where we want AI and where we don't; where it's acceptable and where it's not. And different countries are going to make different choices."

Establish Organizational AI Standards and Discussions

On a company level, there are many steps businesses can take when integrating AI into their operations. Organizations can develop processes for monitoring algorithms, compiling high-quality data and explaining the findings of AI algorithms. Leaders could even make AI a part of their company culture and routine business discussions, establishing standards to determine acceptable AI technologies.

Guide Tech With Humanities Perspectives

Though when it comes to society as a whole, there should be a greater push for tech to embrace the diverse perspectives of the humanities. Stanford University AI researchers Fei-Fei Li and John Etchemendy make this argument in a 2019 blog post that calls for national and global leadership in regulating artificial intelligence:

"The creators of AI must seek the insights, experiences and concerns of people across ethnicities, genders, cultures and socio-economic groups, as well as those from other fields, such as economics, law, medicine, philosophy, history, sociology, communications, human-computer-interaction, psychology, and Science and Technology Studies (STS)."

Balancing high-tech innovation with human-centered thinking is an ideal method for producing responsible AI technology and ensuring the future of AI remains hopeful for the next generation. The dangers of artificial intelligence should always be a topic of discussion, so leaders can figure out ways to wield the technology for noble purposes.

"I think we can talk about all these risks, and they're very real," Ford said. "But AI is also going to be the most important tool in our toolbox for solving the biggest challenges we face."

# data[].attributes.attachment_link.title
12 Dangers of Artificial Intelligence (AI) | Built In

# data[].attributes.attachment_link.description
Artificial intelligence has potential, but the dangers of AI have grabbed more attention in recent years. Check out 12 dangers of artificial intelligence.

# data[].attributes.headline
https://builtin.com/artificial-intelligence/risks-of-artificial-intelligence This article goes over 14 heavy risks that AI has such as cyber attacks etc and how AI can leak your personal information if you enter it in the wrong way and how how these 14 risks could effect you day to day life. Eli Conner

# data[].attributes.subject
https://builtin.com/artificial-intelligence/risks-of-artificial-intelligence This article goes over 14 heavy risks that AI has such as cyber attacks etc and how AI can leak your personal information if you enter it in the wrong way and how how these 14 risks could effect you day to day life. Eli Conner

# data[].attributes.attachment_link.readable_text
As AI grows more sophisticated and widespread, the voices warning against the potential dangers of artificial intelligence grow louder.

"These things could get more intelligent than us and could decide to take over, and we need to worry now about how we prevent that happening," said Geoffrey Hinton, known as the "Godfather of AI" for his foundational work on machine learning and neural network algorithms. In 2023, Hinton left his position at Google so that he could " talk about the dangers of AI," noting a part of him even regrets his life's work.

The renowned computer scientist isn't alone in his concerns.

Tesla and SpaceX founder Elon Musk, along with over 1,000 other tech leaders, urged in a 2023 open letter to put a pause on large AI experiments, citing that the technology can "pose profound risks to society and humanity."

12 Dangers of AI

Questions about who's developing AI and for what purposes make it all the more essential to understand its potential downsides. Below we take a closer look at the possible dangers of artificial intelligence and explore how to manage its risks.

1. Lack of AI Transparency and Explainability

2. Job Losses Due to AI Automation

AI-powered job automation is a pressing concern as the technology is adopted in industries like marketing, manufacturing and healthcare. By 2030, tasks that account for up to 30 percent of hours currently being worked in the U.S. economy could be automated - with Black and Hispanic employees left especially vulnerable to the change - according to McKinsey. Goldman Sachs even states 300 million full-time jobs could be lost to AI automation.

"The reason we have a low unemployment rate, which doesn't actually capture people that aren't looking for work, is largely that lower-wage service sector jobs have been pretty robustly created by this economy," futurist Martin Ford told Built In. With AI on the rise, though, "I don't think that's going to continue."

"If you're flipping burgers at McDonald's and more automation comes in, is one of these new jobs going to be a good match for you?" Ford said. "Or is it likely that the new job requires lots of education or training or maybe even intrinsic talents - really strong interpersonal skills or creativity - that you might not have? Because those are the things that, at least so far, computers are not very good at."

Even professions that require graduate degrees and additional post-college training aren't immune to AI displacement.

As technology strategist Chris Messina has pointed out, fields like law and accounting are primed for an AI takeover. In fact, Messina said, some of them may well be decimated. AI already is having a significant impact on medicine. Law and accounting are next, Messina said, the former being poised for "a massive shakeup."

"Think about the complexity of contracts, and really diving in and understanding what it takes to create a perfect deal structure," he said in regards to the legal field. "It's a lot of attorneys reading through a lot of information - hundreds or thousands of pages of data and documents. It's really easy to miss things. So AI that has the ability to comb through and comprehensively deliver the best possible contract for the outcome you're trying to achieve is probably going to replace a lot of corporate attorneys."

3. Social Manipulation Through AI Algorithms

Social manipulation also stands as a danger of artificial intelligence. This fear has become a reality as politicians rely on platforms to promote their viewpoints, with one example being Ferdinand Marcos, Jr., wielding a TikTok troll army to capture the votes of younger Filipinos during the Philippines' 2022 election.

TikTok, which is just one example of a social media platform that relies on AI algorithms, fills a user's feed with content related to previous media they've viewed on the platform. Criticism of the app targets this process and the algorithm's failure to filter out harmful and inaccurate content, raising concerns over TikTok's ability to protect its users from misleading information.

"No one knows what's real and what's not," Ford said. "So it really leads to a situation where you literally cannot believe your own eyes and ears; you can't rely on what, historically, we've considered to be the best possible evidence... That's going to be a huge issue."

4. Social Surveillance With AI Technology

In addition to its more existential threat, Ford is focused on the way AI will adversely affect privacy and security. A prime example is China's use of facial recognition technology in offices, schools and other venues. Besides tracking a person's movements, the Chinese government may be able to gather enough data to monitor a person's activities, relationships and political views.

Another example is U.S. police departments embracing predictive policing algorithms to anticipate where crimes will occur. The problem is that these algorithms are influenced by arrest rates, which disproportionately impact Black communities. Police departments then double down on these communities, leading to over-policing and questions over whether self-proclaimed democracies can resist turning AI into an authoritarian weapon.

"Authoritarian regimes use or are going to use it," Ford said. "The question is, How much does it invade Western countries, democracies, and what constraints do we put on it?"

5. Lack of Data Privacy Using AI Tools

If you've played around with an AI chatbot or tried out an AI face filter online, your data is being collected - but where is it going and how is it being used? AI systems often collect personal data to customize user experiences or to help train the AI models you're using (especially if the AI tool is free). Data may not even be considered secure from other users when given to an AI system, as one bug incident that occurred with ChatGPT in 2023 " allowed some users to see titles from another active user's chat history." While there are laws present to protect personal information in some cases in the United States, there is no explicit federal law that protects citizens from data privacy harm experienced by AI.

6. Biases Due to AI

Various forms of AI bias are detrimental too. Speaking to the New York Times, Princeton computer science professor Olga Russakovsky said AI bias goes well beyond gender and race. In addition to data and algorithmic bias (the latter of which can "amplify" the former), AI is developed by humans - and humans are inherently biased.

"A.I. researchers are primarily people who are male, who come from certain racial demographics, who grew up in high socioeconomic areas, primarily people without disabilities," Russakovsky said. "We're a fairly homogeneous population, so it's a challenge to think broadly about world issues."

The limited experiences of AI creators may explain why speech-recognition AI often fails to understand certain dialects and accents, or why companies fail to consider the consequences of a chatbot impersonating notorious figures in human history. Developers and businesses should exercise greater care to avoid recreating powerful biases and prejudices that put minority populations at risk.

7. Socioeconomic Inequality as a Result of AI

Sweeping claims that AI has somehow overcome social boundaries or created more jobs fail to paint a complete picture of its effects. It's crucial to account for differences based on race, class and other categories. Otherwise, discerning how AI and automation benefit certain individuals and groups at the expense of others becomes more difficult.

8. Weakening Ethics and Goodwill Because of AI

Along with technologists, journalists and political figures, even religious leaders are sounding the alarm on AI's potential pitfalls. In a 2023 Vatican meeting and in his message for the 2024 World Day of Peace, Pope Francis called for nations to create and adopt a binding international treaty that regulates the development and use of AI.

Pope Francis warned against AI's ability to be misused, and "create statements that at first glance appear plausible but are unfounded or betray biases." He stressed how this could bolster campaigns of disinformation, distrust in communications media, interference in elections and more - ultimately increasing the risk of "fueling conflicts and hindering peace."

The rapid rise of generative AI tools gives these concerns more substance. Many users have applied the technology to get out of writing assignments, threatening academic integrity and creativity. Plus, biased AI could be used to determine whether an individual is suitable for a job, mortgage, social assistance or political asylum, producing possible injustices and discrimination, noted Pope Francis.

"The unique human capacity for moral judgment and ethical decision-making is more than a complex collection of algorithms," he said. "And that capacity cannot be reduced to programming a machine."

9. Autonomous Weapons Powered By AI

As is too often the case, technological advancements have been harnessed for the purpose of warfare. When it comes to AI, some are keen to do something about it before it's too late: In a 2016 open letter, over 30,000 individuals, including AI and robotics researchers, pushed back against the investment in AI-fueled autonomous weapons.

"The key question for humanity today is whether to start a global AI arms race or to prevent it from starting," they wrote. "If any major military power pushes ahead with AI weapon development, a global arms race is virtually inevitable, and the endpoint of this technological trajectory is obvious: autonomous weapons will become the Kalashnikovs of tomorrow."

This prediction has come to fruition in the form of Lethal Autonomous Weapon Systems, which locate and destroy targets on their own while abiding by few regulations. Because of the proliferation of potent and complex weapons, some of the world's most powerful nations have given in to anxieties and contributed to a tech cold war.

Many of these new weapons pose major risks to civilians on the ground, but the danger becomes amplified when autonomous weapons fall into the wrong hands. Hackers have mastered various types of cyber attacks, so it's not hard to imagine a malicious actor infiltrating autonomous weapons and instigating absolute armageddon.

If political rivalries and warmongering tendencies are not kept in check, artificial intelligence could end up being applied with the worst intentions. Some fear that, no matter how many powerful figures point out the dangers of artificial intelligence, we're going to keep pushing the envelope with it if there's money to be made.

"The mentality is, 'If we can do it, we should try it; let's see what happens," Messina said. "'And if we can make money off it, we'll do a whole bunch of it.' But that's not unique to technology. That's been happening forever.'"

10. Financial Crises Brought About By AI Algorithms

The financial industry has become more receptive to AI technology's involvement in everyday finance and trading processes. As a result, algorithmic trading could be responsible for our next major financial crisis in the markets.

While AI algorithms aren't clouded by human judgment or emotions, they also don't take into account contexts, the interconnectedness of markets and factors like human trust and fear. These algorithms then make thousands of trades at a blistering pace with the goal of selling a few seconds later for small profits. Selling off thousands of trades could scare investors into doing the same thing, leading to sudden crashes and extreme market volatility.

Instances like the 2010 Flash Crash and the Knight Capital Flash Crash serve as reminders of what could happen when trade-happy algorithms go berserk, regardless of whether rapid and massive trading is intentional.

11. Loss of Human Influence

12. Uncontrollable Self-Aware AI

There also comes a worry that AI will progress in intelligence so rapidly that it will become sentient, and act beyond humans' control - possibly in a malicious manner. Alleged reports of this sentience have already been occurring, with one popular account being from a former Google engineer who stated the AI chatbot LaMDA was sentient and speaking to him just as a person would. As AI's next big milestones involve making systems with artificial general intelligence, and eventually artificial superintelligence, cries to completely stop these developments continue to rise.

How to Mitigate the Risks of AI

AI still has numerous benefits, like organizing health data and powering self-driving cars. To get the most out of this promising technology, though, some argue that plenty of regulation is necessary.

"There's a serious danger that we'll get [AI systems] smarter than us fairly soon and that these things might get bad motives and take control," Hinton told NPR. "This isn't just a science fiction problem. This is a serious problem that's probably going to arrive fairly soon, and politicians need to be thinking about what to do about it now."

Develop Legal Regulations

AI regulation has been a main focus for dozens of countries, and now the U.S. and European Union are creating more clear-cut measures to manage the rising sophistication of artificial intelligence. In fact, the White House Office of Science and Technology Policy (OSTP) published the AI Bill of Rights in 2022, a document outlining to help responsibly guide AI use and development. Additionally, President Joe Biden issued an executive order in 2023 requiring federal agencies to develop new rules and guidelines for AI safety and security.

Although legal regulations mean certain AI technologies could eventually be banned, it doesn't prevent societies from exploring the field.

Ford argues that AI is essential for countries looking to innovate and keep up with the rest of the world.

"You regulate the way AI is used, but you don't hold back progress in basic technology. I think that would be wrong-headed and potentially dangerous," Ford said. "We decide where we want AI and where we don't; where it's acceptable and where it's not. And different countries are going to make different choices."

Establish Organizational AI Standards and Discussions

On a company level, there are many steps businesses can take when integrating AI into their operations. Organizations can develop processes for monitoring algorithms, compiling high-quality data and explaining the findings of AI algorithms. Leaders could even make AI a part of their company culture and routine business discussions, establishing standards to determine acceptable AI technologies.

Guide Tech With Humanities Perspectives

Though when it comes to society as a whole, there should be a greater push for tech to embrace the diverse perspectives of the humanities. Stanford University AI researchers Fei-Fei Li and John Etchemendy make this argument in a 2019 blog post that calls for national and global leadership in regulating artificial intelligence:

"The creators of AI must seek the insights, experiences and concerns of people across ethnicities, genders, cultures and socio-economic groups, as well as those from other fields, such as economics, law, medicine, philosophy, history, sociology, communications, human-computer-interaction, psychology, and Science and Technology Studies (STS)."

Balancing high-tech innovation with human-centered thinking is an ideal method for producing responsible AI technology and ensuring the future of AI remains hopeful for the next generation. The dangers of artificial intelligence should always be a topic of discussion, so leaders can figure out ways to wield the technology for noble purposes.

"I think we can talk about all these risks, and they're very real," Ford said. "But AI is also going to be the most important tool in our toolbox for solving the biggest challenges we face."

# data[].attributes.attachment_link.title
12 Dangers of Artificial Intelligence (AI) | Built In

# data[].attributes.attachment_link.description
Artificial intelligence has potential, but the dangers of AI have grabbed more attention in recent years. Check out 12 dangers of artificial intelligence.

# data[].attributes.headline
https://hai.stanford.edu/news/ai-overreliance-problem-are-explanations-solution  Paragraph- AI is stopping us from problem solving and using real life skills. It is giving us free answers to things we can work for to find the answer. The article provided test like a set of mazes.

# data[].attributes.subject
https://hai.stanford.edu/news/ai-overreliance-problem-are-explanations-solution  Paragraph- AI is stopping us from problem solving and using real life skills. It is giving us free answers to things we can work for to find the answer. The article provided test like a set of mazes.

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AI Overreliance Is a Problem. Are Explanations a Solution?

# data[].attributes.attachment_link.description
Stanford researchers show that shifting the cognitive costs and benefits of engaging with AI explanations could result in fewer erroneous decisions due to AI overreliance.

# data[].attributes.headline
Meredith Sewell - This article states that using AI could reduce the use of critical thinking and increased use of technology. It also explains that there could be potential loss of human connection. It could also be a security problem with leaked information and documents. https://eng.vt.edu/magazine/stories/fall-2023/ai.html

# data[].attributes.subject
Meredith Sewell - This article states that using AI could reduce the use of critical thinking and increased use of technology. It also explains that there could be potential loss of human connection. It could also be a security problem with leaked information and documents. https://eng.vt.edu/magazine/stories/fall-2023/ai.html

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There is no denying that Artificial Intelligence has changed our lives. However, some might argue if it’s for the better.

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Generative AI has opened up a whole new world to administrators, educators, and students. The power of AI is undeniable, and understanding the pros and cons of artificial intelligence in education is essential for making informed decisions. To best use AI in schools, teachers and administrators need to know AI’s advantages and challenges.

# data[].attributes.headline
 Avery Tuttle https://builtin.com/artificial-intelligence/risks-of-artificial-intelligence This article speaks about 14 risks of AI. An example of one was the loss of jobs due to AI. Goldman Sachs states that 300 million full-time jobs could be lost to AI.

# data[].attributes.subject
 Avery Tuttle https://builtin.com/artificial-intelligence/risks-of-artificial-intelligence This article speaks about 14 risks of AI. An example of one was the loss of jobs due to AI. Goldman Sachs states that 300 million full-time jobs could be lost to AI.

# data[].attributes.attachment_link.readable_text
As AI grows more sophisticated and widespread, the voices warning against the potential dangers of artificial intelligence grow louder.

"These things could get more intelligent than us and could decide to take over, and we need to worry now about how we prevent that happening," said Geoffrey Hinton, known as the "Godfather of AI" for his foundational work on machine learning and neural network algorithms. In 2023, Hinton left his position at Google so that he could " talk about the dangers of AI," noting a part of him even regrets his life's work.

The renowned computer scientist isn't alone in his concerns.

Tesla and SpaceX founder Elon Musk, along with over 1,000 other tech leaders, urged in a 2023 open letter to put a pause on large AI experiments, citing that the technology can "pose profound risks to society and humanity."

12 Dangers of AI

Questions about who's developing AI and for what purposes make it all the more essential to understand its potential downsides. Below we take a closer look at the possible dangers of artificial intelligence and explore how to manage its risks.

1. Lack of AI Transparency and Explainability

2. Job Losses Due to AI Automation

AI-powered job automation is a pressing concern as the technology is adopted in industries like marketing, manufacturing and healthcare. By 2030, tasks that account for up to 30 percent of hours currently being worked in the U.S. economy could be automated - with Black and Hispanic employees left especially vulnerable to the change - according to McKinsey. Goldman Sachs even states 300 million full-time jobs could be lost to AI automation.

"The reason we have a low unemployment rate, which doesn't actually capture people that aren't looking for work, is largely that lower-wage service sector jobs have been pretty robustly created by this economy," futurist Martin Ford told Built In. With AI on the rise, though, "I don't think that's going to continue."

"If you're flipping burgers at McDonald's and more automation comes in, is one of these new jobs going to be a good match for you?" Ford said. "Or is it likely that the new job requires lots of education or training or maybe even intrinsic talents - really strong interpersonal skills or creativity - that you might not have? Because those are the things that, at least so far, computers are not very good at."

Even professions that require graduate degrees and additional post-college training aren't immune to AI displacement.

As technology strategist Chris Messina has pointed out, fields like law and accounting are primed for an AI takeover. In fact, Messina said, some of them may well be decimated. AI already is having a significant impact on medicine. Law and accounting are next, Messina said, the former being poised for "a massive shakeup."

"Think about the complexity of contracts, and really diving in and understanding what it takes to create a perfect deal structure," he said in regards to the legal field. "It's a lot of attorneys reading through a lot of information - hundreds or thousands of pages of data and documents. It's really easy to miss things. So AI that has the ability to comb through and comprehensively deliver the best possible contract for the outcome you're trying to achieve is probably going to replace a lot of corporate attorneys."

3. Social Manipulation Through AI Algorithms

Social manipulation also stands as a danger of artificial intelligence. This fear has become a reality as politicians rely on platforms to promote their viewpoints, with one example being Ferdinand Marcos, Jr., wielding a TikTok troll army to capture the votes of younger Filipinos during the Philippines' 2022 election.

TikTok, which is just one example of a social media platform that relies on AI algorithms, fills a user's feed with content related to previous media they've viewed on the platform. Criticism of the app targets this process and the algorithm's failure to filter out harmful and inaccurate content, raising concerns over TikTok's ability to protect its users from misleading information.

"No one knows what's real and what's not," Ford said. "So it really leads to a situation where you literally cannot believe your own eyes and ears; you can't rely on what, historically, we've considered to be the best possible evidence... That's going to be a huge issue."

4. Social Surveillance With AI Technology

In addition to its more existential threat, Ford is focused on the way AI will adversely affect privacy and security. A prime example is China's use of facial recognition technology in offices, schools and other venues. Besides tracking a person's movements, the Chinese government may be able to gather enough data to monitor a person's activities, relationships and political views.

Another example is U.S. police departments embracing predictive policing algorithms to anticipate where crimes will occur. The problem is that these algorithms are influenced by arrest rates, which disproportionately impact Black communities. Police departments then double down on these communities, leading to over-policing and questions over whether self-proclaimed democracies can resist turning AI into an authoritarian weapon.

"Authoritarian regimes use or are going to use it," Ford said. "The question is, How much does it invade Western countries, democracies, and what constraints do we put on it?"

5. Lack of Data Privacy Using AI Tools

If you've played around with an AI chatbot or tried out an AI face filter online, your data is being collected - but where is it going and how is it being used? AI systems often collect personal data to customize user experiences or to help train the AI models you're using (especially if the AI tool is free). Data may not even be considered secure from other users when given to an AI system, as one bug incident that occurred with ChatGPT in 2023 " allowed some users to see titles from another active user's chat history." While there are laws present to protect personal information in some cases in the United States, there is no explicit federal law that protects citizens from data privacy harm experienced by AI.

6. Biases Due to AI

Various forms of AI bias are detrimental too. Speaking to the New York Times, Princeton computer science professor Olga Russakovsky said AI bias goes well beyond gender and race. In addition to data and algorithmic bias (the latter of which can "amplify" the former), AI is developed by humans - and humans are inherently biased.

"A.I. researchers are primarily people who are male, who come from certain racial demographics, who grew up in high socioeconomic areas, primarily people without disabilities," Russakovsky said. "We're a fairly homogeneous population, so it's a challenge to think broadly about world issues."

The limited experiences of AI creators may explain why speech-recognition AI often fails to understand certain dialects and accents, or why companies fail to consider the consequences of a chatbot impersonating notorious figures in human history. Developers and businesses should exercise greater care to avoid recreating powerful biases and prejudices that put minority populations at risk.

7. Socioeconomic Inequality as a Result of AI

Sweeping claims that AI has somehow overcome social boundaries or created more jobs fail to paint a complete picture of its effects. It's crucial to account for differences based on race, class and other categories. Otherwise, discerning how AI and automation benefit certain individuals and groups at the expense of others becomes more difficult.

8. Weakening Ethics and Goodwill Because of AI

Along with technologists, journalists and political figures, even religious leaders are sounding the alarm on AI's potential pitfalls. In a 2023 Vatican meeting and in his message for the 2024 World Day of Peace, Pope Francis called for nations to create and adopt a binding international treaty that regulates the development and use of AI.

Pope Francis warned against AI's ability to be misused, and "create statements that at first glance appear plausible but are unfounded or betray biases." He stressed how this could bolster campaigns of disinformation, distrust in communications media, interference in elections and more - ultimately increasing the risk of "fueling conflicts and hindering peace."

The rapid rise of generative AI tools gives these concerns more substance. Many users have applied the technology to get out of writing assignments, threatening academic integrity and creativity. Plus, biased AI could be used to determine whether an individual is suitable for a job, mortgage, social assistance or political asylum, producing possible injustices and discrimination, noted Pope Francis.

"The unique human capacity for moral judgment and ethical decision-making is more than a complex collection of algorithms," he said. "And that capacity cannot be reduced to programming a machine."

9. Autonomous Weapons Powered By AI

As is too often the case, technological advancements have been harnessed for the purpose of warfare. When it comes to AI, some are keen to do something about it before it's too late: In a 2016 open letter, over 30,000 individuals, including AI and robotics researchers, pushed back against the investment in AI-fueled autonomous weapons.

"The key question for humanity today is whether to start a global AI arms race or to prevent it from starting," they wrote. "If any major military power pushes ahead with AI weapon development, a global arms race is virtually inevitable, and the endpoint of this technological trajectory is obvious: autonomous weapons will become the Kalashnikovs of tomorrow."

This prediction has come to fruition in the form of Lethal Autonomous Weapon Systems, which locate and destroy targets on their own while abiding by few regulations. Because of the proliferation of potent and complex weapons, some of the world's most powerful nations have given in to anxieties and contributed to a tech cold war.

Many of these new weapons pose major risks to civilians on the ground, but the danger becomes amplified when autonomous weapons fall into the wrong hands. Hackers have mastered various types of cyber attacks, so it's not hard to imagine a malicious actor infiltrating autonomous weapons and instigating absolute armageddon.

If political rivalries and warmongering tendencies are not kept in check, artificial intelligence could end up being applied with the worst intentions. Some fear that, no matter how many powerful figures point out the dangers of artificial intelligence, we're going to keep pushing the envelope with it if there's money to be made.

"The mentality is, 'If we can do it, we should try it; let's see what happens," Messina said. "'And if we can make money off it, we'll do a whole bunch of it.' But that's not unique to technology. That's been happening forever.'"

10. Financial Crises Brought About By AI Algorithms

The financial industry has become more receptive to AI technology's involvement in everyday finance and trading processes. As a result, algorithmic trading could be responsible for our next major financial crisis in the markets.

While AI algorithms aren't clouded by human judgment or emotions, they also don't take into account contexts, the interconnectedness of markets and factors like human trust and fear. These algorithms then make thousands of trades at a blistering pace with the goal of selling a few seconds later for small profits. Selling off thousands of trades could scare investors into doing the same thing, leading to sudden crashes and extreme market volatility.

Instances like the 2010 Flash Crash and the Knight Capital Flash Crash serve as reminders of what could happen when trade-happy algorithms go berserk, regardless of whether rapid and massive trading is intentional.

11. Loss of Human Influence

12. Uncontrollable Self-Aware AI

There also comes a worry that AI will progress in intelligence so rapidly that it will become sentient, and act beyond humans' control - possibly in a malicious manner. Alleged reports of this sentience have already been occurring, with one popular account being from a former Google engineer who stated the AI chatbot LaMDA was sentient and speaking to him just as a person would. As AI's next big milestones involve making systems with artificial general intelligence, and eventually artificial superintelligence, cries to completely stop these developments continue to rise.

How to Mitigate the Risks of AI

AI still has numerous benefits, like organizing health data and powering self-driving cars. To get the most out of this promising technology, though, some argue that plenty of regulation is necessary.

"There's a serious danger that we'll get [AI systems] smarter than us fairly soon and that these things might get bad motives and take control," Hinton told NPR. "This isn't just a science fiction problem. This is a serious problem that's probably going to arrive fairly soon, and politicians need to be thinking about what to do about it now."

Develop Legal Regulations

AI regulation has been a main focus for dozens of countries, and now the U.S. and European Union are creating more clear-cut measures to manage the rising sophistication of artificial intelligence. In fact, the White House Office of Science and Technology Policy (OSTP) published the AI Bill of Rights in 2022, a document outlining to help responsibly guide AI use and development. Additionally, President Joe Biden issued an executive order in 2023 requiring federal agencies to develop new rules and guidelines for AI safety and security.

Although legal regulations mean certain AI technologies could eventually be banned, it doesn't prevent societies from exploring the field.

Ford argues that AI is essential for countries looking to innovate and keep up with the rest of the world.

"You regulate the way AI is used, but you don't hold back progress in basic technology. I think that would be wrong-headed and potentially dangerous," Ford said. "We decide where we want AI and where we don't; where it's acceptable and where it's not. And different countries are going to make different choices."

Establish Organizational AI Standards and Discussions

On a company level, there are many steps businesses can take when integrating AI into their operations. Organizations can develop processes for monitoring algorithms, compiling high-quality data and explaining the findings of AI algorithms. Leaders could even make AI a part of their company culture and routine business discussions, establishing standards to determine acceptable AI technologies.

Guide Tech With Humanities Perspectives

Though when it comes to society as a whole, there should be a greater push for tech to embrace the diverse perspectives of the humanities. Stanford University AI researchers Fei-Fei Li and John Etchemendy make this argument in a 2019 blog post that calls for national and global leadership in regulating artificial intelligence:

"The creators of AI must seek the insights, experiences and concerns of people across ethnicities, genders, cultures and socio-economic groups, as well as those from other fields, such as economics, law, medicine, philosophy, history, sociology, communications, human-computer-interaction, psychology, and Science and Technology Studies (STS)."

Balancing high-tech innovation with human-centered thinking is an ideal method for producing responsible AI technology and ensuring the future of AI remains hopeful for the next generation. The dangers of artificial intelligence should always be a topic of discussion, so leaders can figure out ways to wield the technology for noble purposes.

"I think we can talk about all these risks, and they're very real," Ford said. "But AI is also going to be the most important tool in our toolbox for solving the biggest challenges we face."

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12 Dangers of Artificial Intelligence (AI) | Built In

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Artificial intelligence has potential, but the dangers of AI have grabbed more attention in recent years. Check out 12 dangers of artificial intelligence.

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https://www.lawoftheledger.com/2023/03/articles/artificial-intelligence/you-dont-need-a-machine-to-predict-what-the-ftc-might-do-about-unsupported-ai-claims/. Ai is not helpful in all cases. It causes people to cheat on their tests and homework and doesn’t cause people to actually think.

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https://www.lawoftheledger.com/2023/03/articles/artificial-intelligence/you-dont-need-a-machine-to-predict-what-the-ftc-might-do-about-unsupported-ai-claims/. Ai is not helpful in all cases. It causes people to cheat on their tests and homework and doesn’t cause people to actually think.

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You Don’t Need a Machine to Predict What the FTC Might Do About Unsupported AI Claims

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The rapid rise of AI used with advertising, marketing and other consumer facing applications has caused the FTC to continue to take notice and issues

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Judy Dargo https://nickpotkalitsky.substack.com/p/open-ais-misguided-initiative-to   This article talks about how AI isn’t worried about the saftey, it is more worried about the market of what they are making. 

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Judy Dargo https://nickpotkalitsky.substack.com/p/open-ais-misguided-initiative-to   This article talks about how AI isn’t worried about the saftey, it is more worried about the market of what they are making. 

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Judy Dargo https://www.zdnet.com/article/why-openais-new-ai-agent-tools-could-change-how-you-code/. Open AI not only has better tools but it opened a new response of API that helps navigate and assistance.

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Judy Dargo https://www.zdnet.com/article/why-openais-new-ai-agent-tools-could-change-how-you-code/. Open AI not only has better tools but it opened a new response of API that helps navigate and assistance.