# data[].attributes.body
I'm going to talk about how AI can deepen racial bias in certain indivudals and how it's doing more to divide than bring people together

# data[].attributes.body
AI's ability to improve carbon sequestration techniques, one of the most promising methods for removing excess CO2 from the atmosphere.

# data[].attributes.body
Opinion piece: what civil rights are most threatened by AI?

# data[].attributes.body
Write about what R.A.V.E. is--it's basically a machine learning tool that modifies music sounds. Here's a NYT article about it [I "gifted" the article-- anyone can read it for free]: https://www.nytimes.com/2023/06/10/arts/music/ai-classical-music.html?unlocked_article_code=mnIsuSjmEqwRP5WHLF0cXoaef6R6oOtQfqejnJ0MHHUIG042yJ597AXRvy2UnhG4sEH2Y88bj3F5wntD9ZTTdggjiW6-7k12Y_qNBg6Qwu1zdDpHS8YTuW-wfuOz_hkXZZgREJlyTLNnJBdg-itrkkorsVv6e2B9bhXwQmX_DEXtEL_pku_XpO6Savlv35k0jZ5JZzpTruEPxYzAq1sgx855bS8opczDWdkLb0ocFacjeUgbMBgNlXhj0rw7fHqtDzJx9q4Te2Jn3zMun5B60jw2UHJuMLi9JiPti3olcLB3kf-1qJsTTrA21Pi8uidT1tK84ZsbsKGvqudSr16z&smid=url-share

# data[].attributes.body
How the tech industry's shift towards AI impacts small start-up companies. AI technologies require vast amounts of computing power, making it really difficult for start-ups to have enough resources to compete with established companies. You could write about how this could lead to the AI field being dominated by a few huge companies. Here's a New York Times article about it: https://www.nytimes.com/2023/07/05/business/artificial-intelligence-power-data-centers.html?unlocked_article_code=IyWCK7HIOcna3lbEUs7wiSOestQZP_E13YPoFCRfjTbdf5ltbhhuQptJWX65juPgDQuzYdLvKqq-MKgkYT04JLM1FZ8J8Bs9fyZP9JNhRUNviAPi5wa0uW9G0XY8FO-28uO6-xYVipndHtki55IvbiKvhIvcF8KJqX0qItsu-nx0bQy0oIST9KpKE3DYdua_F7TNIsDEGPKAMLdgdSDgE1Z891_1NkbTvaSJ4gyE0NllvS-ekZUQ-uJhIueoLR40wa4An4VNzJJivZfsQTHwCUc8ongvBYrUDp3j0y5WEhN6BaiiTxbTRvtm_9DJ4DVjdiMnRuzsqtTB6b8nn9g1cPs5-6VK6tzDDH0wL0hjk7PtWjk4Qg&smid=url-share

[Gifted article--free for anyone to read]

# data[].attributes.attachment_link.title
In the Age of A.I., Tech’s Little Guys Need Big Friends

# data[].attributes.attachment_link.description
Creating a new A.I. system requires lots of money and lots of computing power, which is controlled by the industry’s giants.

# data[].attributes.body
Opinion: should social media platforms censor curse words? here's an interesting article by the ACLU about why social media shouldn't be censored (focuses on Facebook specifically): https://www.aclu.org/news/free-speech/facebook-shouldnt-censor-offensive-speech

But definitely don't feel pressured to take a certain side!

# data[].attributes.attachment_link.readable_text
Mark Zuckerberg made several newsworthy choices this week. One - to invoke Holocaust denial as an example of content that Facebook should keep up because "there are different things that different people get wrong" and "it's hard to impugn [their] intent" - was ill-advised.

But another - to keep Facebook from diving deeper into the business of censorship - was the right call. On Wednesday, Facebook announced a policy it put in place last month to remove misinformation that contributes to violence, following criticism that content published on the platform has led to attacks against minorities overseas. When pushed to go further and censor all offensive speech, Facebook refused.

While many commentators are focusing legitimate criticism on Zuckerberg's poor choice of words about Holocaust denial, others are calling for Facebook to adopt a more aggressive takedown policy. What's at stake here is the ability of one platform that serves as a forum for the speech of billions of people to use its enormous power to censor speech on the basis of its own determinations of what is true, what is hateful, and what is offensive.

Given Facebook's nearly unparalleled status as a forum for political speech and debate, it should not take down anything but unlawful speech, like incitement to violence. Otherwise, in attempting to apply more amorphous concepts not already defined in law, Facebook will often get it wrong. Given the enormous amount of speech uploaded every day to Facebook's platform, attempting to filter out "bad" speech is a nearly impossible task. The use of algorithms and other artificial intelligence to try to deal with the volume is only likely to exacerbate the problem.

If Facebook gives itself broader censorship powers, it will inevitably take down important speech and silence already marginalized voices. We've seen this before. Last year, when activists of color and white people posted the exact same content, Facebook moderators censored only the activists of color. When Black women posted screenshots and descriptions of racist abuse, Facebook moderators suspended their accounts or deleted their posts. And when people used Facebook as a tool to document their experiences of police violence, Facebook chose to shut down their livestreams. The ACLU's own Facebook post about censorship of a public statue was also inappropriately censored by Facebook.

Facebook has shown us that it does a bad job of moderating "hateful" or "offensive" posts, even when its intentions are good. Facebook will do no better at serving as the arbiter of truth versus misinformation, and we should remain wary of its power to deprioritize certain posts or to moderate content in other ways that fall short of censorship.

There is no question that giving the government the power to separate truth from fiction and to censor speech on that basis would be dangerous. If you need confirmation, look no further than President Trump's preposterous co-optation of the term "fake news." A private company may not do much better, even if it's not technically bound by the First Amendment to refrain from censorship.

As odious as certain viewpoints are, Facebook is right to resist calls for further outright censorship. When it comes to gatekeepers of the modern-day public square, we should hope for commitment to free speech principles.

# data[].attributes.attachment_link.title
Facebook Shouldn't Censor Offensive Speech | ACLU

# data[].attributes.attachment_link.description
Mark Zuckerberg made several newsworthy choices this week. One - to invoke Holocaust denial as an example of content that Facebook should keep up because "there are different things that different people get wrong" and "it's hard to impugn [their] intent" - was ill-advised.

# data[].attributes.body
Write about Amazon's "Rekognition" technology, and the dangers it may pose. For example, it can rapidly identify, track, and analyze people, using a database of millions of faces. This could be serious violation of privacy rights! Good article here: https://www.aclu.org/news/privacy-technology/amazon-teams-government-deploy-dangerous-new

# data[].attributes.attachment_link.readable_text
Amazon, which got its start selling books and still bills itself as " Earth's most customer-centric company," has officially entered the surveillance business.

The company has developed a powerful and dangerous new facial recognition system and is actively helping governments deploy it. Amazon calls the service " Rekognition."

Marketing materials and documents obtained by ACLU affiliates in three states reveal a product that can be readily used to violate civil liberties and civil rights. Powered by artificial intelligence, Rekognition can identify, track, and analyze people in real time and recognize up to 100 people in a single image. It can quickly scan information it collects against databases featuring tens of millions of faces, according to Amazon.

Amazon is marketing Rekognition for government surveillance. According to its marketing materials, it views deployment by law enforcement agencies as a "common use case" for this technology. Among other features, the company's materials describe "person tracking" as an "easy and accurate" way to investigate and monitor people. Amazon says Rekognition can be used to identify " people of interest," raising the possibility that those labeled suspicious by governments - such as undocumented immigrants or Black activists - will be seen as fair game for Rekognition surveillance. It also says Rekognition can monitor "all faces in group photos, crowded events, and public places such as airports," at a time when Americans are joining public protests at unprecedented levels.

Amazon's Rekognition raises profound civil liberties and civil rights concerns. Today, the ACLU and a coalition of civil rights organizations demanded that Amazon stop allowing governments to use Rekognition.

%3Ciframe%20allow%3D%22autoplay%3B%20encrypted-media%22%20allowfullscreen%3D%22%22%20frameborder%3D%220%22%20height%3D%22315%22%20src%3D%22https%3A%2F%2Fwww.youtube.com%2Fembed%2FlSSZ3-ZIkHU%3Fautoplay%3D1%26version%3D3%22%20thumb%3D%22%2Ffiles%2F2018-05-23-amazon-rekognition-thumbnail-embed.jpg%22%20width%3D%22530%22%3E%3C%2Fiframe%3E

Privacy statement. This embed will serve content from youtube.com.
Tell Amazon to get out of the surveillance business
Amazon not only markets Rekognition as a law enforcement service, it is helping governments deploy it. Amazon lists the city of Orlando, Florida, and the Washington County Sheriff's Office in Oregon among its customers. Upon learning this, the ACLU Foundations of California coordinated with the ACLU of Oregon and the ACLU of Florida on public records requests to learn more.

The documents we obtained indicate that the Washington County sheriff and the city of Orlando became Rekognition customers in 2017. Washington County has since built a database of at least 300,000 mugshot photos to use in coordination with Rekognition. It also built a mobile app for its deputies to quickly scan for a match against the county's database by submitting images obtained from surveillance or other sources.

Amazon is providing company resources to help government agencies deploy Rekognition. In emails between Amazon and Washington County employees, the company offers the expertise of the Rekognition product team, troubleshoots problems encountered by the county, and provides "best practices" advice on how to deploy the service. In what Orlando's police chief praises as a "first-of-its-kind public-private partnership," Amazon promised free consulting services to build a Rekognition "proof of concept" for the city. Rekognition face surveillance is now operating across Orlando in real-time, according to Amazon, allowing the company to search for "people of interest" as footage rolls in from "cameras all over the city."

In the records, Amazon also solicits feedback and ideas for "potential enhancements" to Rekognition's capabilities for governments. Washington County even signed a non-disclosure agreement created by Amazon to get "insight into the Rekognition roadmap" and provide additional feedback about the product. The county later cited this NDA to justify withholding documents in response to the ACLU's public records request.

The documents also revealed that Amazon offered to connect Washington County with other Amazon government customers interested in Rekognition - as well as a body camera manufacturer. Indeed, Amazon's promotional materials previously recommended that law enforcement use Rekognition to identify people in police body camera footage. The company removed mention of police body cameras from its site after the ACLU raised concerns in discussions with Amazon. That appears to be the extent of its response to our concerns. This and other profoundly troubling surveillance practices are still permissible under the company's policies.

With Rekognition, a government can now build a system to automate the identification and tracking of anyone. If police body cameras, for example, were outfitted with facial recognition, devices intended for officer transparency and accountability would further transform into surveillance machines aimed at the public. With this technology, police would be able to determine who attends protests. ICE could seek to continuously monitor immigrants as they embark on new lives. Cities might routinely track their own residents, whether they have reason to suspect criminal activity or not. As with other surveillance technologies, these systems are certain to be disproportionately aimed at minority communities.

Because of Rekognition's capacity for abuse, we asked Washington County and Orlando for any records showing that their communities had been provided an opportunity to discuss the service before its acquisition. We also asked them about rules governing how the powerful surveillance system could be used and ensuring rights would be protected. Neither locality identified such records. In fact, Washington County began using Rekognition even as employees raised questions internally. In one email, a Washington County employee expressed the concern that the "ACLU might consider this the government getting in bed with big data." That employee's prediction was correct.

People should be free to walk down the street without being watched by the government. By automating mass surveillance, facial recognition systems like Rekognition threaten this freedom, posing a particular threat to communities already unjustly targeted in the current political climate. Once powerful surveillance systems like these are built and deployed, the harm will be extremely difficult to undo.

If Rekognition is not reined in, its use is also certain to spread. The records we obtained show that law enforcement agencies in California and Arizona have contacted Washington County asking about Rekognition. So have multiple " fusion centers," which collect information about people for dissemination across agencies at the local and federal level.

Amazon has publicly opposed secretive government surveillance. Its CEO, Jeff Bezos, has himself criticized Trump administration's discriminatory Muslim ban. But actions speak louder than words, and Amazon's efforts to deploy this technology run counter to its proclaimed values and risk harm to the company's customers and their communities.

# data[].attributes.attachment_link.title
Amazon Teams Up With Government to Deploy Dangerous New Facial Recognition Technology | ACLU

# data[].attributes.attachment_link.description
Amazon, which got its start selling books and still bills itself as " Earth's most customer-centric company," has officially entered the surveillance business. The company has developed a powerful and dangerous new facial recognition system and is actively helping governments deploy it. Amazon calls the service " Rekognition."

# data[].attributes.body
Write about robot police dogs, and civil rights concerns around them. good article: https://www.aclu.org/news/privacy-technology/robot-police-dogs-are-here-should-we-be-worried

# data[].attributes.attachment_link.title
Robot Police Dogs are Here. Should We be Worried? | ACLU

# data[].attributes.attachment_link.description
The deployment of advanced technologies like robots often happens faster than our legal systems can adjust. We need clear policies, transparency, and democratic debate and input to ensure these technologies do not threaten civil liberties.

# data[].attributes.body
Pros & cons of the most popular AI chatbots (ex. ChatGPT, Perplexity, Jasper, YouChat, Chatsonic, etc.) https://www.zdnet.com/article/best-ai-chatbot/

# data[].attributes.attachment_link.title
The best AI chatbots of 2024: ChatGPT and alternatives

# data[].attributes.attachment_link.description
I tested the best AI chatbots and writers that can lighten your workload, from writing emails to generating code, images, and more.

# data[].attributes.body
How some companies are trying to use AI in astrology (i.e. reading star-signs, telling the future, etc. ) https://www.goodfirms.co/blog/ai-in-astrology#:~:text=Predictive%20Analytics%2D%20One%20of%20the,day%2C%20month%2C%20or%20year.

# data[].attributes.attachment_link.description
Discover how AI and astrology blend together to predict the most accurate horoscope through ancient wisdom of astrology set in AI algorithms and the potential of astro-tech startups for the future.

# data[].attributes.body
Cover IBM's decision to oppose facial recognition tech, even though it might hurt their business:https://medium.com/@Joy.Buolamwini/ibm-leads-more-should-follow-racial-justice-requires-algorithmic-justice-and-funding-da47e07e5b58

# data[].attributes.body
https://www.wsj.com/articles/when-chatbots-run-up-against-chinas-censorship-f7ee1cea

This one's actually really interesting. Some researchers tried asking an AI chatbot made by a Chinese company about topics that are censored in China (ex. the China v. Taiwan conflict, China's "zero Covid" policy), and the results were heavily censored and/or filled with propaganda. article that might be useful linked above. could tie this to free speech violations with AI .

# data[].attributes.body
The WGA/SAG-AFTA Strike and How AI Will Affect Hollywood

# data[].attributes.body
How AI systems can predict colon cancer survival with more accuracy than physicians typically can: https://hms.harvard.edu/news/ai-tool-predicts-colon-cancer-survival-treatment-response

# data[].attributes.attachment_link.title
AI Tool Predicts Colon Cancer Survival, Treatment Response

# data[].attributes.attachment_link.description
New model offers insights for physicians, could help in resource-limited areas

# data[].attributes.body
Explain what ChatGPT's newest feature ("code interpreter") is. It's basically a tool that provides a way for users to play around with Python programming using ChatGPT. It literally just came out yesterday, so there's no good articles except for this one by the New York Times: https://www.nytimes.com/2023/07/11/technology/what-to-know-chatgpt-code-interpreter.html

It should let you view the article for free, but if it asks for a subscription to read let me know. I have a subscription, and can send you screenshots :)

# data[].attributes.body
Education piece - research what neural networks are and explain it in a really easy-to-understand, accessible article.

# data[].attributes.body
Write specifically about what the different types of neural networks are (ex. Convolutional Neural Networks, Recurrent Neural Networks, etc.). Here's a handy article I found that explains the different types: https://www.mygreatlearning.com/blog/types-of-neural-networks/

# data[].attributes.body
The issue of deepfakes--how they threaten privacy and security. Could also talk about the Deepfakes Task Force Act.

# data[].attributes.body
Analysis of the Facial Recognition and Biometric Technology Moratorium Act. Useful article: https://gizmodo.com/facial-recognition-ban-democrats-propose-another-1850202876

# data[].attributes.body
I know its hard to explain AI and some tech to our older family members, so make an article basically on how to explain AI to someone who knows nothing about it, talking about the dangers of it, how to protect themselves, how it impacts them, etc

# data[].attributes.body
Analysis of the Algorithmic Justice & Digital Transparency Act (introduced by Senator Markey and Representative Matsui)

# data[].attributes.body
Talk about some of the major organizations striving towards algorithmic justice (ex. American Civil Liberties Union (ACLU), Algorithmic Justice League (AJL), Encode Justice, etc.)

# data[].attributes.body
Analysis of pop-culture/movie depictions of AI--how true are they really?

# data[].attributes.body
Highlight women who are trailblazers in using data and technology to advance justice. Some suggestions are Ida B. Wells, Grace Murray Hopper, Katherine G. Johnson, Clare Garvie, Stephanie Castillo, Maya Wiley, Kimberly Scott, etc. (See pages 29 & 30 of this guide): https://static1.squarespace.com/static/5eb23eee707c5356dea97eaa/t/5ffe4ff872238a5c80e4020b/1610502147093/CODED_Educational_Guide_Final.pdf

# data[].attributes.body
A breakdown of the history of the global movement for AI ethics. (see page 25 of this PDF): https://static1.squarespace.com/static/5eb23eee707c5356dea97eaa/t/5ffe4ff872238a5c80e4020b/1610502147093/CODED_Educational_Guide_Final.pdf

# data[].attributes.body
For my artsy volunteers! :)
You could write an analysis of this poem by Joy Buolamwini--it talks about the issue of systemic racism in the U.S., but could perhaps be tied to the issue of AI biases towards people of color. Here's a link to her poem: https://medium.com/@Joy.Buolamwini/pressure-on-the-neck-c3e54984bb67

# data[].attributes.body
Opinion piece: a "60 Minutes" episode a few years ago covering algorithmic bias completely skipped over the contributions of several major female black AI researchers.

The Algorithmic Justice League wrote an opinion piece here that may be helpful. https://drive.google.com/file/d/1Ca2yGADc1Yme1u_PZwCIbVk15kfWeU76/view

# data[].attributes.body
Thoughts on this video by MIT on AI systems' ability to discern the gender of a person: http://gendershades.org/

# data[].attributes.body
Opinion piece: how social media apps affect kids' mental health

# data[].attributes.body
Analysis of the National Institute for Standards and Technology (NIST) Digital Identity Guidelines, which has taken some steps to improve tech equity and privacy rights. The Algorithmic Justice League (AJL) published a document of comments on the Digital Identity Guidelines, which I've attached below. It might be good to write an article of opinions on the Digital Identity Guidelines--it can basically be a summary of the points the AJL made.

https://cdt.org/wp-content/uploads/2023/04/CDT-Comments-on-NIST-Identity-Management-04-2023.pdf

# data[].attributes.body
The government using a controversial private face verification company, ID.me, when people file their taxes.

Article that has some good points --> https://www.linkedin.com/pulse/ai-taxes-we-deserve-better-dr-joy-buolamwini/?trackingId=wzKnuLl2QP2LZk5fBwQJ1g%3D%3D

# data[].attributes.body
Gender disparity in AI development--only a fraction of AI developers are women, much less women of color. What implications does this have for the AI systems that are created?

# data[].attributes.body
How AI affects how society perceives of LGBTQ+ people

# data[].attributes.body
Write about what the company Anthropic is doing. It's actually really cool, they're trying to provide a safer alternative to ChatGPT through their chatbot called "Claude." Their main focus is putting out AI tech that is developed responsibly--they're prioritizing safety and ethics over profits. You can check out their website here: https://www.anthropic.com/

I'm sure that a quick Google search would also help you find more info about this company.

# data[].attributes.body
The issue of TSA using facial recognition technology without travellers' consent, which violates privacy rights. It also tends to misidentify people of color.

# data[].attributes.headline
How to keep you and your loved ones safe from threats associated with AI

# data[].attributes.subject
How to keep you and your loved ones safe from threats associated with AI

# data[].attributes.body
take about deep fakes, AI voice copies, etc, and all of the scams associated with it. talk about establishing a safe word to with friends and family so if something is up, they know if it's truly you or not.

# data[].attributes.body
How the app Tree Planet 2 is helping the environment! It's basically an app (think Hay Day but tree-farm version) where users plant trees. For every virtual tree they plant, the company that made the app plants an actual tree. Here's a cool article I found: https://technode.com/2012/05/15/korean-mobile-app-tree-planet-turns-growing-virtual-trees-into-planting-real-trees/

# data[].attributes.headline
Pros and Cons of AI on any specific type of business/medical field 

# data[].attributes.subject
Pros and Cons of AI on any specific type of business/medical field 

# data[].attributes.body
Basically you can do a pros and cons and view both sides of the spectrum to get a hollietic review of how AI impacts our world, for the better or for the worse

# data[].attributes.body
How AI systems can lead to discrimination, bias, and equal rights violations. This article by the Algorithmic Justice League has a lot of good points!

https://www.eeoc.gov/joint-statement-enforcement-efforts-against-discrimination-and-bias-automated-systems

# data[].attributes.body
Explain what Large Language Models (LLMs) are: https://www.boost.ai/blog/llms-large-language-models

# data[].attributes.attachment_link.readable_text
At their core, large language models, or LLMs, are a type of AI that can mimic human intelligence. They use statistical models to analyze vast amounts of data, learning the patterns and connections between words and phrases. This allows them to generate new content, such as essays or articles, that are similar in style to a specific author or genre.

As technology advances, we are constantly discovering new ways to push the boundaries of what we thought was possible. Large language models are just one example of how we are utilizing technology to create more intelligent and sophisticated software. In this blog, we will take a closer look at what LLMs are, and how they work.

To understand how large language models work, it's helpful to first look at how they are trained. Training a large language model involves feeding it large amounts of data, such as books, articles, or web pages, so that it can learn the patterns and connections between words. The more data it is trained on, the better it will be at generating new content.

Once the large language model has been trained, it can be used to generate new content based on the parameters set by the user. For example, if you wanted to generate a new article in the style of Shakespeare, you would provide the Large language model with a prompt, such as a sentence or paragraph, and it would generate the rest of the article based on the patterns and connections it has learned from analyzing Shakespeare's works.

Large language models can also be used for a wide range of other applications, such as chatbots and virtual agents. By analyzing natural language patterns, they can generate responses that are similar to how a human might respond. This can be incredibly useful for companies looking to provide customer service through a chatbot or virtual agent, as it allows them to provide personalized responses without requiring a human to be present.

Of course, like any technology, LLMs have their limitations. One of the biggest challenges is ensuring that the content they generate is accurate and reliable. While LLMs can generate content that is similar in style to a particular author or genre, they can also generate content that is inaccurate or misleading. This is particularly true when it comes to generating news articles or other types of content that require a high degree of accuracy.

One way of mitigating this flaw in LLMs is to use conversational AI to connect the model to a reliable data source, such as a company's website. This makes it possible to harness an LLM's generative properties to create a host of useful content for a virtual agent, including training data and responses that are aligned with that company's brand identity.

However, because of the stochastic nature of these models, they, at least for now, can never be 100% accurate. It's, therefore, crucial to have a human-in-the-loop to verify any content generated by an large language model before it is communicated to an end-user - especially if this technology is to be applied in an enterprise setting, where potential liability concerns could be raised.

At boost.ai, we have developed proprietary algorithms that are able to accurately scan websites and other data sources, and interface with LLMs to essentially tame them for use in enterprise use cases.

CTA: Want to learn more about how boost.ai is using large language models to create better automated customer experiences today? Check out our latest webinar demoing a variety of LLM-enriched features coming soon to our virtual agents. [WATCH HERE]

# data[].attributes.attachment_link.title
What are large language models and how do they work?

# data[].attributes.attachment_link.description
To understand how LLMs work, it's helpful to first look at how they are trained

# data[].attributes.body
This one's really funny--write about a company called ComedyBytes that has roast battles between humans and AI chatbots. Here's there website, but I'm sure a google search would bring up more info: https://www.comedybytes.io/

# data[].attributes.attachment_link.title
ComedyBytes A.I. vs. Human Comedy Roast Battle /New York City/Web3 Comedy

# data[].attributes.attachment_link.description
Stop fearing A.I. - and embrace artificial intelligence's power of comedy! ComedyBytes hosts a multimedia Web3 comedy variety show - Featuring the world's FIRST: A.I. vs Human Comedy Roast Battle. Yes, a comedy show - where all the elements are created by an A.I. It's the future of comedy!

# data[].attributes.body
Write about Khan Academy's new AI chat/tutoring tool, Khanmigo. How might tech like this affect education resources?

# data[].attributes.body
Write an article explaining what "singularity" is in technology. It's basically the concept that tech will outpace human intelligence. https://blog.hubspot.com/marketing/ai-singularity

# data[].attributes.attachment_link.readable_text
If you're working in a marketing role, you can't ignore the emerging field of artificial intelligence. It's quickly gained traction, and industry leaders have begun projecting that rapid AI advancements could surpass human intelligence sooner than we think.

But what does that mean? And what are the implications of that type of advancement? As a marketer, it can be challenging to imagine where AI technology will go. However, understanding AI singularity, including its implications and potential outcomes, can help you stay ahead of the curve in an ever-changing profession.

So before we discuss AI singularity in modern-day terms, let's talk about the original or blanket term - technological singularity.

Technological Singularity

Technological singularity is the idea that, at some point in the future, technology will become so advanced that it surpasses human intelligence and control, and was first coined in 1983 by the author Vernor Vinge.

So how can we visualize this concept with today's AI technology? Let's dive into it.

AI singularity involves the creation of an artificial intelligence that's so advanced, it can continuously improve upon itself at a rate that's faster than humans performing the same task. This rapid self-improvement leads to an intelligence explosion, with AI algorithms becoming more complex and powerful at an exponential rate, exceeding the cognitive capabilities of individuals.

While it sounds useful for technology to conduct tasks and operations that humans haven't achieved, it could have far-reaching implications for how we approach AI and its applications.

AI Singularity Implications

Assuming AI singularity occurs, the implications for businesses and, generally, any technology company might be significant. AI entities that are more intelligent than humans could self-replicate and self-improve, resulting in a chain of increasingly more advanced AI machines.

That improvement and development of AI would cause a dramatic shift in the labor market. Machines could increasingly displace human workers, particularly those who have engaged in routine and manual labor, while the demand for more sophisticated high-tech skills would continue.

How Close Are We to AI Singularity?

There have been significant advances in technology, including machine learning algorithms that have shown promising results in problem-solving applications. However, given the complex and multifaceted nature of human intelligence, creating a fully autonomous AI entity that exceeds human intelligence still seems like a long-term goal.

However, futurist and computer scientist Ray Kurzweil has made predictions that singularity will approximately occur in 2045, while others speculate the tipping point is earlier than that.

Life After Singularity

It's difficult to predict precisely what life will look like beyond the point of singularity. The risk is that implementing increasingly advanced AI machine learning could affect its actions and decisions, including those that could be unpredictable, poorly made, or even harmful to the world.

The benefits of singularity, however, cannot be overstated. AI singularity could play a significant role in helping to solve many of society's most vital problems, and even alleviate some of the day-to-day pressures that come with a busy, productive working population.

But once again, we'll only speculate as we continue to ingrain our lives and work with AI technology.

# data[].attributes.attachment_link.title
How Far Are We from AI Singularity? What It Means & Implications

# data[].attributes.attachment_link.description
Experts predict that rapid AI advancements could potentially surpass human intelligence, but what does that mean? Read more to learn about AI singularity.

# data[].attributes.body
Texas tiktok ban + controversy over it. https://www.cnn.com/2023/07/13/business/tiktok-ban-texas-lawsuit/index.html

# data[].attributes.attachment_link.title
Texas' TikTok ban hit with First Amendment lawsuit | CNN Business

# data[].attributes.attachment_link.description
Texas's TikTok ban violates the First Amendment. That's the basis of a lawsuit just filed by the Knight First Amendment Institute at Columbia University on behalf of the Coalition for Independent Technology Research.

# data[].attributes.body
Write about what Geoffrey Hinton (the "godfather of AI") regrets about his work. He has said in multiple interviews that he fears that AI will spread misinformation, get too big too fast, etc. Here's an article about it: https://www.euronews.com/next/2023/05/04/why-is-godfather-of-ai-geoffrey-hinton-worried-these-are-the-4-dangers-he-fears-about-the-

# data[].attributes.attachment_link.readable_text
Here are some of the biggest concerns being voiced about the future of AI - and humanity.

Prominent experts in artificial intelligence (AI) have been sounding the alarm over the pace and magnitude of recent advances in the field, warning they pose nothing less than a threat to mankind.

These include Geoffrey Hinton, an award-winning computer scientist known as the "godfather of AI," who quit his job at Google last month to share his concerns about the unchecked development of new AI tools.

"I have suddenly switched my views on whether these things are going to be more intelligent than us," Hinton, 75, said in an interview with MIT Technology Review this week.

"I think they're very close to it now and they will be much more intelligent than us in the future... How do we survive that?"

Hinton is not alone in his concerns. In February, even Sam Altman, the CEO of ChatGPT's developer OpenAI, said the world may not be "that far away from potentially scary" AI tools - and that regulation would be critical but would take time to figure out.

Shortly after the Microsoft-backed start-up released its latest AI model called GPT-4 in March, more than 1,000 researchers and technologists signed a letter calling for a six-month pause on AI development because, they said, it poses "profound risks to society and humanity".

Here's a look at the biggest concerns voiced by Hinton and other experts.

1. AI may already be smarter than us

Our human brains can solve equations, drive cars and keep track of Netflix series thanks to their native talent for organising and storing information and reasoning out solutions to thorny problems.

The roughly 86 billion neurons packed into our skulls - and, more important, the 100 trillion connections those neurons forge among themselves - make that possible.

By contrast, the technology underlying ChatGPT features between 500 billion and a trillion connections, Hinton said. While that would seem to put it at a major disadvantage relative to us, Hinton notes that GPT-4, the latest AI model from OpenAI, knows "hundreds of times more" than any single human. Maybe, he suggests, it has a "much better learning algorithm" than we do, making it more efficient at cognitive tasks.

Researchers have long noted that artificial neural networks take much more time to absorb and apply new knowledge than people do since training them requires tremendous amounts of both energy and data.

That's no longer the case, Hinton argues, noting that systems like GPT-4 can learn new things very quickly once properly trained by researchers. That's not unlike the way a trained professional physicist can wrap her brain around new experimental findings much more quickly than a typical high school science student could.

That leads Hinton to the conclusion that AI systems might already be outsmarting us: not only can they learn things faster - they can also share copies of their knowledge with each other almost instantly.

"It's a completely different form of intelligence," he told MIT Technology Review. "A new and better form of intelligence".

2. AI can 'supercharge' the spread of misinformation

What would smarter-than-human AI systems do? One unnerving possibility is that malicious individuals, groups or nation-states might simply co-opt them to further their own ends.

Dozens of fake news websites have already spread across the web in multiple languages, some publishing hundreds of AI-generated articles a day, according to a new report from NewsGuard, which rates the credibility of websites and tracks online misinformation.

Hinton is particularly concerned that AI tools could be trained to sway elections and even wage wars.

Election misinformation spread via AI chatbots, for instance, could be the future version of election misinformation spread via Facebook and other social media platforms.

And that might just be the beginning.

"Don't think for a moment that Putin wouldn't make hyper-intelligent robots with the goal of killing Ukrainians," Hinton said in the article. "He wouldn't hesitate".

3. Will AI make us redundant?

OpenAI estimates that 80 per cent of workers in the United States could see their jobs impacted by AI, and a Goldman Sachs reports says the technology could put 300 million full-time jobs at risk worldwide.

Humanity's survival is threatened when "smart things can outsmart us," according to Hinton.

"It may keep us around for a while to keep the power stations running," Hinton told MIT Technology Review's EmTech Digital conference from his home via video on Wednesday. "But after that, maybe not".

"These things will have learned from us, by reading all the novels that ever were and everything Machiavelli ever wrote, how to manipulate people," Hinton said. "Even if they can't directly pull levers, they can certainly get us to pull levers".

4. We don't quite know how to stop it

"I wish I had a nice simple solution I could push, but I don't," Hinton added. "I'm not sure there is a solution".

Governments are, however, paying close attention to the rise of AI. The White House has called in the CEOs of Google, Microsoft and ChatGPT-maker OpenAI to meet on Thursday with Vice President Kamala Harris in what's being described by officials as a frank discussion on how to mitigate both the near-term and long-term risks of their technology.

European lawmakers are also accelerating negotiations to pass sweeping new AI rules, and the UK's competition regulator plans to examine the impact of AI on consumers, businesses and the economy and whether new controls are needed on technologies such as ChatGPT.

What's not clear is how anyone would stop a power like Russia from using AI technology to dominate its neighbours or its own citizens.

Hinton suggests that a global agreement similar to the 1997 Chemical Weapons Convention might be a good first step toward establishing international rules against weaponized AI.

Though it's also worth noting that the chemical weapons compact did not stop what investigators found were likely Syrian attacks using chlorine gas and the nerve agent sarin against civilians in 2017 and 2018 during the nation's bloody civil war.

You might also like

Now playing Next

Now playing Next

Now playing Next

# data[].attributes.attachment_link.title
The 4 dangers AI experts are most worried about

# data[].attributes.attachment_link.description
Here are some of the biggest concerns being voiced about the future of AI - and humanity.

# data[].attributes.body
How Amazon's AI hiring tool discriminates against female job applicants. https://www.aclu.org/news/womens-rights/why-amazons-automated-hiring-tool-discriminated-against

# data[].attributes.attachment_link.title
Why Amazon’s Automated Hiring Tool Discriminated Against Women | ACLU

# data[].attributes.attachment_link.description
The ACLU dares to create a more perfect union — beyond one person, party, or side. Our mission is to realize this promise of the United States Constitution for all and expand the reach of its guarantees.

# data[].attributes.body
An overview of how facial recognition tech works. Here's a useful guide that you could reference: https://global-uploads.webflow.com/5e027ca188c99e3515b404b7/5ed1002058516c11edc66a14_FRTsPrimerMay2020.pdf

# data[].attributes.body
Write about "AI doomerism"-- basically the idea that AI could cause a global extinction. You might also want to write about how this fear is largely unfounded, and how it also distracts from other important issues with AI. interesting article: https://www.theatlantic.com/technology/archive/2023/06/ai-regulation-sam-altman-bill-gates/674278/