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La finalul acestei lecții, veți putea argumenta pro și contra utilizării Inteligenței Artificiale, utilizând informații relevante și structurate.

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Dezvoltarea abilităților de gândire critică

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Dezvoltarea abilităților de gândire critică

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Veți învăța să analizați impactul AI în societate, să lucrați colaborativ și să formulați opinii bine fundamentate.

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Este Inteligența Artificială benefică pentru societate sau reprezintă un pericol?

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What Is AI? | Learn all about artificial intelligence

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O scurtă prezentare despre ce este Inteligența Artificială și aplicațiile sale în viața de zi cu zi.

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Introduction to Artificial Intelligence | UW-Stout

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Împărțiți în grupuri și discutați despre avantajele și dezavantajele AI. Folosiți Padlet pentru a nota ideile. Puteți include exemple reale din știri recente.

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We've all seen the headlines about AI, both the good and bad. Regardless of what you think of the risks of using AI, no one can dispute that it's here to stay. Businesses of all sizes have found great benefits from utilizing AI, and consumers across the globe use it in their daily lives.

But even people who are excited about AI can ask the question: what, exactly, are the advantages and disadvantages of using it?

In this article, we'll discuss the major benefits and drawbacks of adopting AI, both in everyday life and in business. We'll also talk through some use cases for AI, to give you an idea of how AI can help in your life.

In this article we'll cover:

1. What is artificial intelligence?

2. What ad the advantages and disadvantages of AI?

1. Advantages

2. Disadvantages

3. Use cases for AI

4. Implementing AI

What is artificial intelligence?

Artificial Intelligence is a branch of computer science dedicated to creating computers and programs that can replicate human thinking. Some AI programs can learn from their past by analyzing complex sets of data and improve their performance without the help of humans to refine their programming.

As AI has boomed in recent years, it's become commonplace in both business and everyday life. People use AI every day to make their lives easier - interacting with AI-powered virtual assistants or programs. Companies use AI to streamline their production processes, project gains and losses, and predict when maintenance will have to occur.

Learn more about artificial intelligence.

What are the advantages and disadvantages of AI?

There are always pros and cons to any technological advancement. There is a ton of debate about the benefits and risks of AI at every level. But beyond the headlines that either peddle hype or fear, what does AI do?

The advantages range from streamlining, saving time, eliminating biases, and automating repetitive tasks, just to name a few. The disadvantages are things like costly implementation, potential human job loss, and lack of emotion and creativity. So where do we net out?

Advantages of AI

Everyone knows that AI gives businesses an edge. The Appen State of AI Report for 2021 says that all businesses have a critical need to adopt AI and ML in their models or risk being left behind. Companies increasingly utilize AI to streamline their internal processes (as well as some customer-facing processes and applications). Implementing AI can help your business achieve its results faster and with more precision.

Eliminates human error and risk

The first major advantage of implementing AI is that it decreases human error, as well as risk to humans.

"To err is human..." - Alexander Pope, Enlightenment poet.

Everyone makes mistakes on occasion. That's not always a bad thing, but when it comes to producing consistent results, it certainly can be. Using AI to complete tasks, particularly repetitive ones, can prevent human error from tainting an otherwise perfectly useful product or service.

Similarly, using AI to complete particularly difficult or dangerous tasks can help prevent the risk of injury or harm to humans. An example of AI taking risks in place of humans would be robots being used in areas with high radiation. Humans can get seriously sick or die from radiation, but the robots would be unaffected. And if a fatal error were to occur, the robot could be built again.

24/7 availability

AI programs are available at all times, whereas humans work 8 hours a day. Machines can work all through the day and night, and AI-powered chatbots can provide customer service even during off-hours. This can help companies to produce more and provide a better customer experience than humans could provide alone.

Unbiased decision making

Humans disagree and allow their biases to leak through in their decisions all the time. All humans have biases, and even if we try and solve for them, they sometimes manage to sneak through the cracks.

On the other hand, provided the AI algorithm has been trained using unbiased datasets and tested for programming bias, the program will be able to make decisions without the influence of bias. That can help provide more equity in things like selecting job applications, approving loans, or credit applications.

Though if the AI was created using biased datasets or training data it can make biased decisions that aren't caught because people assume the decisions are unbiased. That's why quality checks are essential on the training data, as well as the results that a specific AI program produces to ensure that bias issues aren't overlooked.

Repetitive jobs

Even the most interesting job in the world has its share of mundane or repetitive work. This could be things like entering and analyzing data, generating reports, verifying information, and the like. Using an AI program can save humans from the boredom of repetitive tasks, and save their energy for work that requires more creative energy.

Cost reduction

As we addressed above, AI can work around the clock, creating more value in the same day as a human worker. And since AI can help to take over manual and tedious tasks, it frees up workers for higher-skilled tasks. That, ultimately, creates more value for the end-user or consumer.

Data acquisition and analysis

When it comes to processing data, the scale of data generated far exceeds the human capacity to understand and analyze it. AI algorithms can help process higher volumes of complex data, making it usable for analysis.

Disadvantages of artificial intelligence

With all the advantages listed above, it can seem like a no-brainer to adopt AI for your business immediately. But it's also prudent to carefully consider the potential disadvantages of making such a drastic change. Adopting AI has a myriad of benefits, but the disadvantages include things like the cost of implementation and degradation over time.

Costly implementation

The biggest and most obvious drawback of implementing AI is that its development can be extremely costly. Depending on what exactly you need AI to do, the cost changes. One estimate says that the cost for a fully implemented AI solution for most businesses ranged from $20,000 to well in the millions.

The cost balances out later on down the line once the AI is fully implemented and can help streamline the workflow. But the up-front cost can be intimidating, if not prohibitive.

Lack of emotion and creativity

The next disadvantage of AI is that it lacks the human ability to use emotion and creativity in decisions.

The lack of creativity means AI can't create new solutions to problems or excel in any overly artistic field. One scientific paper posited that at the present stage of AI development, it can be programmed to create "novel" ideas, but not original ones. This paper posits that until AI can create original and unexpected ideas, it won't overtake humans in the ability to be creative, which means it will be hindered in its decision-making. If a company is looking for a new or creative solution to a problem, humans are better capable of providing that solution.

When making sensitive decisions, humans inherently consider the emotional ramifications. AI doesn't have that ability, making only the most optimal decision based on the parameters with which it has been provided, regardless of the emotional impact. Even AI that has been programmed to read and understand human emotion falls short.

In this study, the AI more often assigned negative emotions to people of races other than white. This would mean that an AI tasked with making decisions based on this data would give racially biased results that further increase inequality.

Compassion and kindness are both inherently human traits, but cannot be programmed into even the best AI.

Degradation

This may not be as obvious of a downside as the ones cited above. But machines generally degrade over time. For example, if AI is installed into a machine on an assembly line, eventually the parts of the machine will start to wear. And unless the AI has a self-repairing function, it will eventually break.

Likewise, the AI itself can become outdated if not trained to learn and regularly evaluated by human data scientists. The model and training data used to create the AI will eventually be old and outdated, meaning that the AI trained will also be unless retrained or programmed to learn and improve on its own.

No improvement with experience

Similarly to the point above, AI can't naturally learn from its own experience and mistakes. Humans do this by nature, trying not to repeat the same mistakes over and over again. However, creating an AI that can learn on its own is both extremely difficult and quite expensive. There are AIs that can learn, of course. Perhaps the most notable example of this would be the program AlphaGo, developed by Google, which taught itself to play Go and within three days started inventing new strategies that humans hadn't yet thought of.

But without the programming to learn on its own, AI will need human intervention to help it improve over time.

Reduced jobs for humans

This is yet another disadvantage many people know immediately, thanks to many headlines over the years. As AI becomes more commonplace at companies, it may decrease available jobs, since AI can easily handle repetitive tasks that were previously done by workers.

Now, many reports show that AI will likely create just as many new jobs as it makes obsolete, if not more. But then you run into the problem of having to train humans on these new jobs, or leaving workers behind with the surge in technology.

Ethical problems

The rapid creation and implementation of AI led to a myriad of ethical questions about its use and continued growth. One of the most common ethical problems people cite is concerns around consumer data privacy. The persistence of data poses many problems for the informed consent of the humans to whom the data belongs. Not to mention, since AI is good at recognizing patterns, it can gather data on people even without direct access to personal information. So the question is: how do we protect consumer privacy with the rapid evolution of AI?

Other ethical problems range from the unemployment question, to legal responsibility, and more. Learn more about the ethics of using AI in this article.

Use cases for AI

There are dozens of possible examples of AI in business. We talked above about the uses of AI in helping to automate repetitive tasks, freeing up human workers for more complex tasks. Some other use cases include:

Early diagnosis of diseases in healthcare using AI that analyzes patterns and data to predict when/how a patient is likely to develop a specific disease.

Virtual assistant chatbots in customer service can handle simple and common requests, and help route requests to human resources for more complex tasks. These also help to provide support during off-hours and weekends.

Early detection of fraud in financial institutions. The AI analyzes patterns around fraud to catch it as early as possible, and prevent it from happening entirely.

Creation of predictive analysis to help a business project possibilities for their future, helping to prevent poor decisions and support strong ones.

Implementing AI

It's important for businesses to know the disadvantages inherent in using AI, however it is equally as important to move forward with utilizing AI. Knowing the disadvantages will help the deployer to solve these problems, allowing for a better, more efficient and ethical use of AI in the workplace.

Ready to use AI in your business? Learn how Tableau uses AI analytics to equip our users with the best possible data, allowing them to make informed decisions about their business.

Connect with your customers and boost your bottom line with actionable insights.

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What are the advantages and disadvantages of artificial intelligence (AI)?

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As more businesses adopt AI, it's important to know the advantages and disadvantages so you can make an informed decision on the future of AI in your business.

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Fiecare elev va pregăti un argument pro sau contra pe baza informațiilor discutate în lecție.

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Train for any argument with Harvard’s former debate coach | Bo Seo

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Extinderea cunoștințelor: Articol despre AI

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Extinderea cunoștințelor: Articol despre AI

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Pentru cei interesați de mai multe detalii, citiți acest articol despre impactul AI asupra locurilor de muncă.

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Artificial Intelligence (AI) is changing the job market, creating new types of jobs while automating routine tasks. With 20-50 million new jobs expected by 2030, AI is creating and enhancing jobs in healthcare, pharmaceuticals and other industries.

While some industries may experience significant job displacement, the economy is expected to benefit from increased productivity and output. As AI continues to evolve, understanding its impact on employment and the economy is crucial.

AI is rapidly transforming the workforce, with significant changes already apparent in the job market and employment landscape. As AI continues to develop and evolve, businesses and workers must adapt to stay competitive and efficient. In this blog, we will explore how AI is affecting the workforce, how it can help workers and businesses become more effective, and the potential benefits and drawbacks of implementing AI on a larger scale.

Impact of AI on Job Roles

The rise of automation and AI is transforming the workplace, impacting job roles across various industries, including high-tech manufacturing. Thanks to advanced technologies, many manual and repetitive tasks can now be automated, leading to increased efficiency and productivity.

But this shift is also causing job roles to evolve, with some becoming obsolete while new ones emerge. For example, manufacturing workers need to acquire new skills to operate and maintain machines and robots that are taking over manual tasks. Additionally, AI integration into high-tech manufacturing processes is creating new job roles like data analysts, AI programmers, and machine learning specialists.

These emerging job roles require a combination of technical skills and a deep understanding of business processes. The jobs of the future will require a mix of technical skills, creativity, and adaptability to leverage the power of automation and AI effectively.

As AI continues to transform the job market and employment landscape, individuals need to adapt to stay relevant and competitive in their careers. One way to adapt is to focus on developing skills that are in high demand, such as data analytics, machine learning, and programming. This can involve taking courses, attending workshops, or earning certifications in these fields.

Another way to adapt is to embrace the opportunities presented by AI, such as using it to augment human capabilities and work more efficiently. This may involve learning how to work with AI tools and technologies and collaborating with AI systems to achieve better results.

Additionally, individuals should stay informed about the latest developments in AI and its impact on their industries. This can involve following industry publications, attending conferences, and networking with peers and experts.

Finally, individuals should remain flexible and adaptable, as the job market and employment landscape continues to evolve rapidly in response to AI and other technological advances. By embracing change and continually developing their skills and knowledge, individuals can thrive in a world where AI is transforming the way we work.

Impact of AI on the Workforce

AI's impact on the workforce is multifaceted. It involves the automation of repetitive and routine tasks, changing skill requirements, and job displacement. This can be beneficial for employees as it frees them up to focus on more complex and creative work, but it can also create concerns about job displacement and changes in the demand for certain types of jobs. However, AI is also creating new job opportunities, especially in data analytics, machine learning, and AI development.

Despite these potential benefits, there are also concerns about the drawbacks of implementing AI on a larger scale in the workforce. One potential concern is job displacement, which can lead to unemployment and the need for reskilling and upskilling. Another concern is the potential for bias and discrimination in algorithms, which can have negative consequences for marginalised individuals and communities.

Privacy and security are also major concerns regarding the impact of AI on the workforce. As AI becomes more advanced, it is important to ensure that personal data is protected, and AI systems are secure against cyberattacks. Nonetheless, AI can also enhance efficiency and productivity, and its advancements may lead to new job opportunities for workers with the right skills and knowledge

Impact of AI on Employment

Artificial Intelligence (AI) is changing the job market, creating new types of jobs and enhancing existing ones. As AI continues to develop and evolve, it is important to understand how it is impacting the job market, the types of new jobs that are emerging, and the potential impact on unemployment rates and the economy as a whole.

According to a report by McKinsey & Company, AI is expected to create 20-50 million new jobs globally by 2030. These new jobs will be in a range of industries, including healthcare, manufacturing, and finance. Some of the new job roles that are emerging as a result of AI include:

AI Trainers and Teachers: These are individuals who are responsible for training and teaching AI systems. They ensure that AI algorithms are accurate and effective, and they also develop new AI applications and systems.

Data Analysts and Scientists: With the increase in data generated by AI systems, there is a growing demand for individuals who can analyse and interpret this data. Data analysts and scientists use AI tools to analyse data and identify patterns and insights that can help businesses make better decisions.

Human-Machine Teaming Managers: As AI becomes more integrated into the workplace, there is a growing need for individuals who can manage the interaction between humans and machines. Human-machine teaming managers ensure that AI systems work effectively with human workers, enhancing productivity and efficiency.

AI Ethics and Policy Specialists: As AI becomes more prevalent, there is a growing need for individuals who can address the ethical and policy implications of AI. AI ethics and policy specialists ensure that AI systems are developed and used in a responsible and ethical manner.

AI is creating new job opportunities that require skills such as critical thinking, creativity, and problem-solving. Artificial Intelligence is also enhancing existing jobs by improving accuracy and precision in many tasks, such as quality control and data analysis. For example, in healthcare, AI is being used to assist doctors and nurses with diagnosis and treatment recommendations, improving patient outcomes and reducing the workload of healthcare professionals.

The impact of AI on unemployment rates and the economy as a whole is a topic of debate. While AI is creating new job opportunities, it is also leading to job displacement, particularly in industries that rely heavily on routine and repetitive tasks.

According to a report by the World Economic Forum, by 2025, AI will have displaced 75 million jobs globally, but will have created 133 million new jobs. This means that there will be a net gain of 58 million jobs globally, but there will still be significant job displacement in certain industries.

The impact of AI on unemployment rates will also vary by region and industry. For example, the manufacturing industry is likely to experience significant job displacement as a result of AI, while the healthcare and education industries are expected to see significant job growth.

In addition to its impact on employment, AI also has the potential to impact the economy as a whole. AI can lead to increased productivity and output, which can stimulate economic growth. However, there are concerns about the potential for AI to widen the wealth gap, as those with the skills and knowledge to work with AI may earn higher salaries than those who do not have these skills.

Final Thoughts

Technology has been evolving at an unprecedented rate, and with it, our job roles. Automation and AI are changing the way we work, and we are beginning to see significant impacts across various industries. While certain job roles are at risk of being automated, others are evolving to include the use of AI.

As the use of AI continues to grow, it is essential that we take a proactive approach in ensuring that the benefits of AI are balanced with the needs of workers and society as a whole. We must ensure that we are adequately prepared to adapt to the changes in the job market and acquire new skills to thrive in the digital age.

Furthermore, it is crucial to address the potential loss of jobs due to automation. We must develop strategies that support workers who are at risk of displacement and ensure that they have access to training and education to equip them with the skills needed to adapt to new job roles.

Despite the challenges, the integration of AI in job roles has the potential to drive innovation, increase efficiency, and improve our quality of life. By leveraging the full potential of AI, we can create new job opportunities, drive economic growth, and make significant strides in addressing some of the world's most pressing challenges.

The impact of AI on job roles is significant and far-reaching. It is essential to approach this transformation proactively, ensuring that the benefits of AI are balanced with the needs of workers and society. By doing so, we can create a future where AI and human workers can work together seamlessly to achieve shared goals and drive progress.

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The Impact of AI on Job Roles, Workforce, and Employment: What You Need to Know | Innopharma Education

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Artificial Intelligence (AI) is changing the job market, creating new types of jobs while automating routine tasks. With 20-50 million new jobs expected by

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Ce am învățat despre Inteligența Artificială? Vă rugăm să împărtășiți un gând final în grup.

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Artificial intelligence (AI) is a growing field that impacts many parts of our society. We interact with AI when we use smart home technologies, drive modern cars, and search for information on the web. Kids can start learning about AI and how it works through these fun artificial intelligence activities for students.

Try fun artificial intelligence activities for students

There are many ways students can start exploring AI. These fun artificial intelligence activities for students provide opportunities to expand their knowledge of AI, how it works, and different applications and industries where it is used.

Create & Learn's AI Explorers course allows students to explore how self-driving cars, facial recognition, and other AI technologies work. Students learn to develop AI applications as they learn the role AI plays in image recognition software and chatbots. Students also learn how to implement AI into games and robotics and expand their knowledge of the technical components of AI to explore neural networks. Throughout the course, students consider ethical implications of AI and the impacts this technology has on our society. There's even a free intro session you can start with!

Jackie Gerstein provides fun chatbot activities that teach students how to create a text to speech translator in Scratch. Students can then use the skills they learn while developing this program to create their own chatbot that can answer questions about a topic of their choice. While developing these chatbot programs, students explore AI and machine learning fundamentals and implement these to improve their chatbots. Video: What are Chatbots?

Scratch Lab provides experimental blocks that the Scratch team has developed to add new creative possibilities for students. Students can try out these new experimental blocks and even give feedback to the Scratch team! One of the experimental features that they are working on is Face Sensing. With Face Sensing blocks, students can make animated costumes and games that interact with the user's face. This feature allows students to explore machine learning technology to detect faces and respond to facial features and expressions.

With MIT App Inventor, students can learn about AI and machine learning to identify objects within images. Students learn about common image classification techniques while exploring data collection and developing their own image classification app. The Introduction to Machine Learning: Image Classification activities consist of several lessons that students can complete to explore the LookExtension in MIT App Inventor and create an app that they can download on an Android device. Video: WhatIsIt Tutorial

In the Digital Technologies Hub's "Can AI Guess Your Emotion?" activity, students explore image classification using Google's Teachable Machine. Students consider how facial features help us recognize emotions and train an AI to recognize these. Students can also expand on this to explore training an AI to recognize pets, words, or other types of data.

Enjoy artificial intelligence activities for kids

AI is a fun and exciting field to explore, and it plays a large role in our society today. Students can get started developing their skills and knowledge in AI through these fun artificial intelligence activities, taking our AI Explorers course, and exploring some interesting facts about AI.
Written by Jamila Cocchiola who has always been fascinated with technology and its impact on the world. The technologies that emerged while she was in high school showed her all the ways software could be used to connect people, so she learned how to code so she could make her own! She went on to make a career out of developing software and apps before deciding to become a teacher to help students see the importance, benefits, and fun of computer science.

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5 Fun Artificial Intelligence Activities for Students

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Artificial intelligence (AI) is a growing field that impacts many parts of our society. We interact with AI when we use smart home technologies, drive modern cars, and search for information on the web. Kids can start learning about AI and how it works through these fun artificial intelligence activities for students.