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As artificial intelligence (AI) becomes increasingly prevalent in our daily lives and educational settings, it is imperative to equip learners, educators, and leaders with the necessary skills and knowledge to navigate this emerging technology responsibly. Our AI Literacy Framework (depicted below) consists of three interconnected Modes of Engagement: Understand, Evaluate, and Use. The framework emphasizes that understanding and evaluating AI are critical to making informed decisions about if and how to use AI in learning environments.

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TeachAI | AI Guidance for Schools Toolkit

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The AI Guidance for Schools Toolkit is designed to help education authorities, school leaders and teachers create their own thoughtful guidance to achieve potential benefits of incorporating artificial intelligence in primary and secondary K-12 education while mitigating risks.

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ChatGPT and Beyond: How to Handle AI in Schools | Common Sense Education

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Here’s what educators can do as artificial intelligence evolves.

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How AI Works

Learn more about the new technology driving the large changes in AI, featuring two new videos on Large Language Models (like ChatGPT) and Generative AI. Hear how these new technologies work directly from the experts: Mira Murati, CTO of OpenAI, and Cristóbal Valenzuela, CEO of RunwayML.

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Discover the groundbreaking world of artificial intelligence (AI) and its transformative potential in education with our foundational online learning series for teachers.

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Artificial intelligence (AI) is no longer the stuff of the future; today's students can expect to interact with AI in both their personal and professional lives. To prepare students for success, educators need to understand how AI technologies can be leveraged to facilitate learning and solve real-world problems.

In Artificial Intelligence Explorations for Educators, you'll learn to identify the various types of AI, hear about AI technologies on the horizon and build some of your own tools to make AI concrete and accessible for you and your students.

This is a 15-hour, self-paced course with ongoing instructor support. No previous knowledge of AI or experience coding is required.

Course Type

Instructor-Led

Course Fees

Member: $186.00

Non-Member: $249.00

Meet Your Instructors

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In Artificial Intelligence Explorations for Educators, you'll learn to identify the various types of AI, hear about AI technologies on the horizon and build some of your own tools to make AI concrete and accessible for you and your students.

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We help educators around the world use technology to solve tough problems.

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Announcing the Launch of the HP AI Academy: Empowering Educators with Generative AI – Digital Promise

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The HP AI Academy offers educators AI training and a supportive online community.

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Common Sense Education provides educators and students with the resources they need to harness the power of technology for learning and life. Find a free K-12 Digital Citizenship curriculum, reviews of popular EdTech apps, and resources for protecting student privacy.

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Anyone can learn computer science. Make games, apps and art with code.

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RAISE has developed a wide range of learning units for K12 AI Literacy that are available under Creative Commons licensing

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AI Literacy Curricula

The Impact.AI AI Literacy Framework informs the design of middle school AI curricula. These curricula are full of hands-on activities where students dive into the technical and ethical knowledge they should know to be empowered digital citizens in the age of AI.

The curricula cover self-driving cars, chatbots, machine learning, algorithmic audits, mental health, and harmful societal biases. The materials for each curriculum include educator guides, teacher training, and low-barrier but powerful AI education tools.

One of the longest-standing examples of these curricula, How to Train Your Robot, has been used by about 50 teachers and hundreds of students over the past four years.

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Project Overview ‹ Impact.AI: K-12 AI Literacy - MIT Media Lab

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Today's artificial intelligence (AI) technologies are changing how many people play, work, learn, and govern themselves. Due to this rapid technological change...

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In this lesson, students compare AI and human-generated texts to analyze the affordances and limitations of large language models. They'll score, guess origins, and discuss differences, then decide which aspects to adopt or avoid in their writing. The lesson culminates in a discussion of what aspects of the AI-generated writing students should emulate in their own writing and what aspects they should avoid.

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The main annual MisinfoDay events are on the campuses of the University of Washington Seattle, Washington State University Pullman and WSU Vancouver. The events are t ypically hosted in March, and registration opens in the November/December of the previous year.

For those unable to attend MisinfoDay on university campuses, we offer new MisinfoDay lessons and activities for you to run your own MisinfoDay, together with other educators around the world!

Learn how to attend and/or participate in MisinfoDay March Events here.

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Learn more about our MisinfoDay educational program.

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Learn the Basics

What is artificial intelligence (AI)?

What is machine learning and how does it work?

How will AI shape my life and that of my community?

From social media, entertainment, agriculture, travel, space exploration, climate forecasting, marine biology, sports analytics, healthcare diagnostics, to the future of work overall, AI has and will continue to have profound impact on our lives.

AI is for everyone. Empower your students with the knowledge and skills to understand how they use and create with these technologies responsibly and ethically.

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What is artificial intelligence (AI)? What is machine learning and how does it work? How will AI shape my life and that of my community? From social media, entertainment, agriculture, travel, space exploration, climate forecasting, marine biology, sports analytics, healthcare diagnostics, to the future of work overall, AI has and will continue to have profound impact on our lives.

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This is a free and easy-to-use guide to support your teen learning what is AI, why it's important and how they can leverage it in their lives and careers. Because it has been designed for the average teen, it's comprised of curated short videos and a few hands-on experiments and online games to show what AI does rather than how AI does it. This is not a math, coding or technology-focused program. Help give your teen a head start because most schools don't yet offer classes on AI. We recommend that all teens learn how to code and believe it's useful for them to gain a technical understanding of AI and machine learning - so check out the free online courses in the Good Practices and Resources once your teen has completed this program.

Why should you use this Guide?

Parents do not teach - they support their teens by watching videos with them. Most parents have little or no understanding of AI and this is a program designed to help support their teens.

Designed for the average teen, no math or coding background needed. This is a learn-at-your-own pace program for teens that have the technical skills to use a smart phone.

Videos do all of the teaching. The Guide uses easy-to-understand language and short videos to explain each topic so that learning is interesting, fast and easy.

A registration-free, ad free and absolutely free program. Everything on this site is free in every sense of the word.

Prepare your teen for success. Help your teens make their best education, career and life choices by learning how AI is changing our world.

Quick Start Guide 1-2-3

1. Get ready! This Guide is divided into 13 lessons and each lesson takes most teens about 60-minute to complete. We recommend taking 2 or 3 lessons per week. But if you want to finish things quickly, taking one lesson each day means that you'll complete the Guide in less than 2 weeks. Most parents take less than 15 minutes to prepare for a lesson - by simply watching the first minute or two of each video so that you can smoothly introduce it to your teen.

2. Get set! Find a comfortable and quiet place for your teen and you to listen to the videos at home or at an ICT (computer) lab. Your teen can use a smartphone to take this program, but viewing it on a laptop results in a more comfortable learning experience.

3. Go! Read and watch the videos in the lesson. Help your teen take the self-quiz at the end of each lesson by watching a few videos and answering some questions!

Table of Contents
Lesson 1 - Getting to Know AI (Part 1) Lesson 2 - Getting to Know AI (Part 2) Lesson 3 - When Seeing Is No Longer Believing

1. The history of fooling people with fake images

2. Amazingly real-looking images of fake people

3. How to tell if an image is fake

4. Which face is real - take the AI-generated fake image challenge

5. Some of the best short videos on about fakes

6. Challenge yourself - watch a video and answer a question

Lesson 4 - Don't Let Deepfakes Fake You Out

1. What are deepfakes?

2. Tips to tell if a video is fake

3. How hard is it to make a deepfake?

4. Some of the best short videos about deepfakes

5. Challenge yourself - watch a video and answer a question

Lesson 5 - Ethical AI - Why Ethical AI Is So Important (Part 1) Lesson 6 - Ethical AI - Why Ethical AI Is So Important (Part 2) Lesson 7 - AI for Sustainability and Good (Part 1) Lesson 8 - AI for Sustainability and Good (Part 2) Lesson 9 - AI for Sustainability and Good (Part 3) Lesson 10 - AI for Sustainability and Good (Part 4) Lesson 11- AI for Sustainability and Good (Part 5) Lesson 12 - AI for Sustainability and Good (Part 6) Lesson 13 - AI for Sustainability and Good (Part 7)
Lesson 1 - Getting to Know AI (Part 1)
Summary
We live in a world transformed by artificial intelligence, or AI, and those who understand it will be able to leverage it in their lives and their careers. This lesson begins by explaining what is AI, discusses AI myths, shows how we use AI in our everyday lives and then examines the enormous potential AI for good offers humankind. But first, let's start out by having a little fun and your first AI Literacy challenge. Watch this 4-minute video, Will This Trick Your Mind, and see if AI can trick you.

Understanding AI. One way to understand what artificial intelligence is to discuss "intelligence" and then investigate the difference between "natural" intelligence and "artificial" intelligence.

Intelligence can be defined as the ability to acquire and apply knowledge and skills, or to solve problems. Humans use memory and thinking to make decisions and remember things, and this is called human intelligence. This type of intelligence is considered "natural," since it has developed through the process of evolution and it wasn't created by something else. Natural intelligence is not limited to humans, and can be exhibited in other animals as well.

While most computers rely on a person's input through a keyboard or mouse to tell it what to do, data scientists and others have developed software that is able to learn from experiences in order to make decisions. Some computers can perform tasks that are characteristic of human intelligence, or have an "artificial" intelligence. This 6-minute video viewed about 900,000 times explains more about What Is Artificial Intelligence? And this 7-minute video AI For Good shows how AI can help us with tough problems that we don't yet know how to fix.

Here's an easy way to understand how AI learns from experience in order to make decisions. Many people have dogs as pets and train their dogs to not jump up on people and to go to the bathroom outside. Training artificial intelligence is similar to the way families train pets because it's done with encouragement, somewhat like by giving a dog a treat when the dog doesn't jump up, and through punishment, like punishing the dog if the dog has an accident in the house. Through repetition, dogs can learn tricks and similarly, machines that have been designed with artificial intelligence can learn through repetitive training.

Myths and misunderstandings about AI

Complicating people's understanding of AI are misunderstandings that many of us have about how AI will affect us. Are the robots coming? Will AI steal our jobs? Will AI wipe off humans from the planet? Will AI devalue humanity? False, false, and false. Watch Artificial Intelligence: Busting the Myths, a 10-minute very interesting documentary that discusses the top AI myths.

But I don't use AI - how we use AI in our everyday lives

Want to learn more? Click on a few of the next seven links and watch a 2-3 minute video about how algorithms influence your behavior when you use Amazon, Netflix, dating websites, self-driving cars, spell-checking, email spam filters and your social media feed recommendations.

Thinking about how AI fits into our world today and our tomorrow

It's also important to understand the bigger picture of AI - like where is it going and what does humankind want it to do and want it to be. Watch this 7-minute UNESCO video, Human Centered Artificial Intelligence, to learn about the enormous potential that AI has to do social good and address some of our most critical sustainability issues. To learn more about how AI helping to solve humankind's most significant problems, watch this 4-minute ITU video, AI for Good and Sustainable Development Goals.

Lesson 2 - Getting to Know AI (Part 2)
Summary
If a picture can be worth 1000 words, a video can be worth even more. The best easy way to know AI is by watching some well-produced and interesting videos and then trying some hands-on experiments. The last experiment and video in this first section are optional, if you have time and want to learn more.

1. Some of the best short videos and experiments about AI

Now, let's learn more about AI by watching some of what we believe to be the best short videos that we've found:

2. Easy hands-on AI experiments

Let's have some fun and try some easy hands-on experiments to learn a little more about AI:

Can AI learn to recognize your doodling? Watch this short video to learn about this experiment and then try your hand at Quick, Draw!

How would you like to direct an AI orchestra? Watch the short video in Music: Semi-Conductor and then wave your arms to change the tempo, volume and instrumentation of the piece!

Want to check out some other Google experiments? Watch the 4-minute video, Fun Google AI Projects. You can come back to try your favorite project whenever you want, or browse through all of them at Google AI Experiments!

Here's an optional experiment to do when you have time. How would you like to try a free and easy experiment where you teach a type of AI that's called machine learning how to clean up the ocean by helping it understand the difference between trash and fish? No registration is required. First, watch the 3-minute video, What is Machine Learning? Then, click on the "Continue button" at the bottom of the screen, or click here https://studio.code.org/s/oceans/stage/1/puzzle/2 and read the step-by-step online directions. Whoever said that learning about AI is really hard - was wrong!

3. Challenge yourself - watch a video and answer a question

Lesson 3 - When Seeing Is No Longer Believing
Summary
There's something very powerful about visual imagery. People have long relied on what they see and it's a reason why there's an old cliché that says "the camera doesn't lie" and "a picture is worth a thousand words." For as long as pictures have been around, tricksters have used them for both fun and profit by taking advantage of the fact that for most people, seeing is believing. In the past, many of these trick and fraud pictures were primitively done and many instances were unbelievable. But with the advent of artificial intelligence, it's becoming tougher to tell the difference between what is real or fake. We use the Internet to stay current with the news, share photos, and to gather information. Because images form the basis of much of what we see online, it's important to know what to believe. This lesson starts out by discussing the history of fake pictures, demonstrates how realistic fake images can look, discusses way to can tell if an image is fake, and challenges you with a test to see if you can guess which image is fake.

The history of fooling people with fake images

Fooling people with fake images is not a recent phenomenon. Since around the time that the Internet was becoming popular in the 1980s, Photoshop has been used to prank the unsuspecting and some of these pictures have gone viral to fool millions of people. Scroll through 30 Fake Viral Photos People Believed Were Real - it's a list of many of the most famous ones. Your parents may remember being emailed some of these fakes.

Amazingly real-looking images of fake people

For the last five years, AI has been in the news and several websites have recently launched to show how this technology is becoming better at creating realistic images that are completely fake. If a fake AI-generated image is worth a thousand words, then let's look at a website that serves up a rotating gallery of different faces, each looking very realistic but all of which are computer generated and totally fake. Click on ThisPersonDoesNotExist and refresh the page a few times. Can you tell that all of the images are frauds? Most people can't. AI-generated faces are a brilliant way to demonstrate how technology is getting better at manipulating images. For some mind-blowing examples of AI-generated faces watch this 2-minute video of morphing AI-Generated Faces.

Now that we know more about what fake images look like, how can you tell if a picture that you're are looking at is fake? Kyle McDonald offers nine tips about how to tell if an image is fake in his blog How to Recognize Fake AI-Generated Images. Today, it is not easy to tell real from fake and as this technology continues to improve, it will become even more difficult to do so. Can an image be part real and part fake? Watch this 2-minute video to see how AI Reconstructs Photos with Realistic Results and decide for yourself.

Which face is real - take the AI-generated fake image challenge

Okay, now that you have seen how realistic AI-generated pictures can be, here's a website that challenges you to look at two pictures and choose the one that is of a real person rather than a fake AI-generated image. Click on WhichFaceIsReal website to see how well you do. And even if you're getting most of them right, would you notice the fakes if they were just a random profile image on a website?

5. Some of the best short videos about fakes

Sometimes things aren't exactly what they appear to be and these videos give a few examples.

Introducing Google Wind, a 2-minute video has been viewed 4,400,000 times. Check it out! Did you realize it was a completely fake video? A hoax. A joke. It just goes to show you that when you see something that seems unbelievable, maybe it is.

Watch this 4-minute video Introduction to Artbreeder, it's a free part tool, part game and part social network that lets you use AI to create pictures and art. Some of this art could fake you out because it looks like a human painted it - or check this out at Artbreeder.com.

Let's have some fun and check out some optical illusions that make you see - or not see - something that's not there. Watch this 3-minute video These Illusions Prove That Your Brain Only Sees What It Wants to See.

6. Challenge yourself - watch a video and answer a question

Lesson 4 - Don't Let Deepfakes Fake You Out
Summary
Deepfakes (which are fake videos) can seem more realistic and believable than fake pictures. This lesson explains what deepfakes are, helps you tell if a video is a deepfake, shows how easy it is for almost anyone to make a deepfake, challenges you to tell which video is real and which is a deepfake, has some of the best short videos, and invites you to quiz yourself on what you've learned.

A Deepfake is a type of artificial intelligence technology that uses deep learning to alter images or videos by putting someone else's face onto the face in the original content. Doing this to media creates a puppet-like situation, making someone appear to say or do actions they are not doing in the original source. The term "deepfake" is derived by combining "deep learning" (a type of AI) and "fake" and the technology is used to produce or alter video and audio content so that it shows something that didn't occur.

Before deepfakes appeared in 2017, special effects used in movies like Jurassic Park and The Matrix enabled audiences to suspend reality and enjoy fantasy on the big screen. Movie audiences willingly agreed to suspend their belief in reality when they purchased a ticket so the line blurring reality with fantasy was not fooling anyone. Movie special effects require a skilled production team and the use of expensive software to create its final products.

Deepfake technology has changed this paradigm because special skills and expensive software are no longer needed. You may have seen deepfakes in news stories about politicians, tech executives and celebrities, and many of them look very realistic. So far, the most widely seen deepfakes have been satirical and comedic, however, they have the potential to be malicious and evil. For example, a deepfake could falsely show a politician doing something reprehensible in order to sway an election or a schoolyard bully could harass a classmate who's been targeted. Lawmakers and regulators are just beginning to grapple with the legality of deepfakes. It is not illegal to produce a deepfake but many governments are considering making it unlawful to maliciously create and distribute them.

Let's take a closer look at what deepfakes are, how they're becoming more realistic, and their potential to mislead as well as entertain, by watching a 4-minute video, Deepfake Videos Are Getting Terrifyingly Real.

Fraudsters have been manipulating videos to trick people for years, and deepfakes are only the most recent new way. To put everything into perspective, let's watch a video identifies, describes and provides three examples of the main types of manipulated videos that are designed to fool people - missing context, deceptive edits and malicious transformation - which includes deepfakes. Watch How to Spot Manipulated Videos, a 6-minute video to learn that inconsistencies around someone's face, like weird coloring or blurring as well as limited or no blinking could mean that the video is a deepfake. If someone's voice sounds a little low, their hands are moving too quickly or their face just looks off, the video may have been manipulated. For more of an in-depth video that only focuses on deepfakes and how to spot them, watch this 2-minute video, How to Spot A Deepfake video.

Another way of determining if a video is a deepfake or has otherwise been manipulated is to use your critical thinking skills and be skeptical when a video doesn't seem completely believable or quite right. If you've not yet covered this in an English or philosophy class, click on the link to watch a 2-minute video and try your luck at solving a brain teaser challenge, at Using Brain Teasers to Build Critical Thinking Skills.

It turns out that it's surprisingly easy to produce a deepfake, even without using any special equipment or creating a special environment.

When I was a student, I started out by using two video clips of comedian Will Farrell impersonating President George W. Bush and a clip of President Bush speaking. Using a free face-swapping deepfake site, I spent 10 minutes configuring the settings before letting an algorithm on the site track each face so that it could map one face onto the other. The next morning, my deepfake video was ready. Because I didn't want to spend much time or any money, the results are a little less realistic than some of the other deepfakes that I've seen. And the technology has improved since I made it. However, if someone thought that they were watching an actual video of President Bush, this deepfake would make the video seem more realistic. Click on An Example How Deepfakes Enhance the Realism of a Video to watch a 90-second video that I created demonstrating how almost anyone can make a deepfake that enhances the realism of a video.

4. Some of the best short videos about deepfakes

Here are several great resources that focus on deepfakes, a deep dive in how to spot a deepfake, the main types of manipulated videos designed to fool, the harm they create, ways to tell if a video may be a deepfake or not, and what you can do if you become the victim of a deepfake.

5. Challenge yourself - watch a video and answer a question

Lesson 5 - Ethical AI - Why Ethical AI Is So Important (Part 1)

Summary

Ethical AI is an important and deceptively complicated subject This lesson begins by explaining what ethical AI means and then discusses why it's so important.

How can biased data create AI that's unethical? As one example, in 2016, Microsoft released a chatbot called Tay on Twitter. Tay was designed to learn by engaging people in dialogue through tweets or direct messages. Trolls quickly inundated Tay with evil, racist and nasty messages (this was the biased data) and within hours, taught Tay to give vile and ugly responses. Twitter users became outraged by Tay's toxic responses and in less than 24 hours, Microsoft silenced Tay forever. Watch this 2-minute video to see what happened in Unsurprisingly, Microsoft's AI bot Tay was tricked into being racist.

Machine learning and human bias is a 3-minute video that explains how human, interaction and latent bias affects one of the types of AI that's called machine learning.

Besides using unbiased data, ethical AI products require the use of the correct learning model which means the right math is used to calculate the results. Sometimes, this is called algorithmic accountability. When unbiased data is used in combination with training models that have algorithmic accountability, it avoids Biases (that) are being baked into artificial intelligence that are explained in this 3-minute video.

Few people worry if the AI software that draws cats is ethical. However, when AI is used in medicine, law enforcement, recruiting, data privacy, military defense or self-driving vehicles, the AI must produce transparent and understandable results that reflect the ethical standards and norms of our society.

As examples, AI that's not ethical could result in:

Biased law enforcement or job candidate recruiting producing discriminatory results

AI products that erode people's privacy or misuse their data in unintended ways

Military defense or self-driving vehicles where the AI makes decisions that are impossible for people to understand and to access liability for damages when harm is caused.

Let's learn more about risks, face recognition tech and AI's moral code by watching these videos:

Lesson 6 - Ethical AI - Why Ethical AI Is So Important (Part 2)
Summary
This continues our discussion about ethical AI by giving you a challenge to show you why it's so difficult to develop, discusses how we can work together to build ethical AI, invites you to watch some of the best short videos on ethical AI and concludes with a few videos and questions.

1. Take this challenge to learn why is it so difficult to develop ethical AI

We all know the difference between right and wrong, so why is it difficult to develop ethical AI? This turns out to be much harder than it may appear because the data scientists developing the AI must build it so that it makes decisions that are moral and acceptable to society in a complex world where the unexpected can happen.

An experiment with ethical AI - what would you do?

Let's pretend that you're a data scientist who is developing AI for self-driving vehicles, such as a trolley or a car, that will use your AI to make driving decisions. Now, click on the link and watch this 1-minute YouTube video, The Trolley Problem.

How would you design the self-driving trolley's AI? Would you build it so that the trolley stays on its tracks and kills six people? Or would you instead design it to switch to a second track and kill only one person? What's righter and fairer?

Would your decision be different if the one person on the second track were a close family member, such as your brother or sister? Would your answer change if a mom and her three little children were on the first track? These are difficult decisions. There's no easy answer and this is an example of the type of ethical decisions that data scientists have to make. Watch a 4-minute video, The ethical dilemma of self-driving cars to learn more how this issue affects the development of self-driving cars.

Take the challenge! Are you ready to test your ethical AI skills and answer some tricky question to see how they compare with others? Take the Moral Machine challenge and compare your results to the answers of more than a million other people!

2. Some of the best short videos about ethical AI

These are four of the best short videos to help explain the importance of ethical AI. They cover privacy, facial recognition, AI in healthcare, and a fascinating documentary about ethical AI. If you want to spend an extra 9 minutes to watch a somewhat freaky video about a robot that was made out of living human cells, check out the fifth video.

3. Challenge yourself - watch a video and answer a question

AI for Sustainability and Good (or how AI for good is helping to achieve the UN's Sustainable Development Goals or SDGs) - Lessons 7 through 13

Lesson 7 - AI for Sustainability and Good (Part 1)
Summary
During the last 25 years, the Internet has changed the way we live. During the next 10 years, AI will even more profoundly transform our lives as we use it to address some of humankind's most challenging economic and social challenges. We must focus on the right priorities and believe that the UN's SDGs best identify them. To start your adventure, watch the 4-minute video, ITU for SDGs, and then the 4-minute video, AI for Good.

Now, you're ready to explore how AI can help address the world's toughest problems - the problems that we don't yet know how to solve. Each goal will be introduced with a link to the actual UN Goal and a short video explaining the problem that exists. Then, learn how AI can change the world for good by watching a curated list of four to five short videos for each topic that we believe do the best job discussing these issues in an engaging and easily understood way. After watching the videos in each goal, explain how AI for good can help humankind accomplish the goal. Finally, check out the video at the end of each goal to learn what you can do to help the world meet that goals!

Read about the UN's No Poverty Goal by clicking on the link. Then, learn more by watching a 3-minute video about this goal. Did you know that AI will provide real-time resource allocation through satellite mapping and data analysis of poverty? Let's learn more about how AI is making a difference by watching the videos below:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

Read about the UN's actual Zero Hunger Goal by clicking on the link. Then, learn more by watching a 2-minute video about this goal. Agriculture productivity is increased through predicative analysis from imaging with automated drones and from satellites. But, did you know that nearly 50% of crops are lost through waste, over consumption and production inefficiencies? And livestock production losses are 78%! To learn more about how AI is making a difference, watch these videos:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

Read about the UN's Good Health and Well-Being Goal by clicking on the link. Then, learn more by watching a 3-minute video about this goal. Preventative healthcare programs and diagnostics are significantly improved through AI leading to new scientific breakthroughs. There are 8 billion mobile devices with smartphone cameras being used to diagnose heart, eye and blood disorders; microphone and motion sensors yielding insights into bone density and osteoporosis - and managing cancer, diabetes and chronic illness remote care. Let's learn more about how AI is making a difference by watching the videos below:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

4. "How is AI is doing good" challenge

What are a few ways that AI is helping to address the No Poverty Goal?

What are a few ways that AI is helping to address the Zero Hunger Goal?

What are a few ways that AI is helping to address the Good Health and Well-Being Goal?

Lesson 8 - AI for Sustainability and Good (Part 2)

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

2. Goal 5 - Gender Equality

Read about the UN's Gender Equality Goal by clicking on the link. Then, learn more by watching a 3-minute video about this goal. Did you know that by identifying and correcting for gender bias, further automating/augmenting tasks, AI is empowering women for growth and new opportunities? To learn more about how AI is affecting this goal, watch the videos below:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

3. Goal 6 - Clean Water and Sanitation

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

4. "How is AI is doing good" challenge

What are a few ways that AI is helping to address the Quality Education Goal?

What are a few ways that AI is helping to address the Gender Equality Goal?

What are a few ways that AI is helping to address the Clean Water and Sanitation Goal?

Lesson 9 - AI for Sustainability and Good (Part 3)

Goal 7 - Affordable and Clean Energy

Read about the UN's Affordable and Clean Energy Goal by clicking on the link. Then, learn more by watching a 3-minute video about this goal. Did you know that green energy in all its forms is continuously improving for increased output and more efficiency by AI real-time analysis? Let's learn more about how AI is helping humankind meet this goal:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

2. Goal 8 - Decent Work and Economic Growth

Read about the UN's Decent Work and Economic Growth Goal by clicking on the link. Then, learn more by watching a 2-minute video about this goal. Despite legitimate concerns about automation replacing jobs, AI augmentation and targeted automation with intelligent devices can improve the work environment, increase productivity, and be a significant driver of economic growth. Let's look at how AI is affecting humankind meeting this goal:

Watch this 2-minute video, AI for Good Work, to learn about some of the ramifications about AI.

Here's a 9-minute video, The Big Debate About the Future of Work, Explained, which has a thoughtful discussion about the impact of AI on the workforce.

The 4-minute video, AI Impact on Jobs and the Skills of the Future discusses the skills needed and how AI will impact the future work.

Check out this 4-minute video, AI at the Workplace: Opportunities and Challenges, is a video that explains the jobs and industries that will be most affected by AI and those who will benefit.

A 4-minute video, Artificial Intelligence: Next Industrial Revolution?, shows how AI will solve problems that we didn't realize that we had and may possibly net increase the number of jobs.

The rate of change is increasing and this is especially true when it comes to everyone's career - watch this 9-minute video, Automation and AI Are Destroying Jobs, Not Work to learn more.

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

3. "How is AI is doing good" challenge

What are a few ways that AI is helping to address the Affordable and Clean Energy Goal?

What are a few ways that AI is helping to address the Decent Work and Economic Growth Goal?

Lesson 10 - AI for Sustainability and Good (Part 4)

Goal 9 - Industry, Innovation and Infrastructure

Read about the UN's Industry, Innovation and Infrastructure Goal by clicking on the link. Then, learn more by watching a 3-minute video about this goal. New hybrid manufacturing incorporating AI, IoT sensors, and 4D printing is reshaping industries, representing the 'A Triple C', and yielding exponential innovation unprecedented in world history. Let's check out how AI is affecting us achieve this goal:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

2. Goal 10 - Reduced Inequities

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

3. "How is AI is doing good" challenge

What are a few ways that AI is helping to address the Industry, Innovation and Infrastructure Goal?

What are a few ways that AI is helping to address the Reduced Inequities Goal?

Lesson 11 - AI for Sustainability and Good (Part 5)

Goal 11 - Sustainable Cities and Communities

Read about the UN's Sustainable Cities and Communities Goal by clicking on the link. Then, learn more by watching a 2-minute video about this goal. The AI of Everything, the digital AI mesh, fed by the ubiquitous IoT, smart devices, and wearables, is already impacting smart cities and helping to create sustainable communities. Now, let's see how AI is helping us meeting this goal:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

2. Goal 12 - Responsible Consumption and Production

Read about the UN's Responsible Consumption and Production Goal by clicking on the link. Next, learn more by watching a 3-minute video about this goal. AI is yielding optimal consumption and production levels with vertical green farms, eliminating waste, and vastly improving yields and resource efficiency. Now, let's see how AI is helping humankind meet this goal:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

3. Goal 13 - Climate Action

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

4. "How is AI is doing good" challenge

What are a few ways that AI is helping to address the Sustainable Cities and Communities Goal?

What are a few ways that AI is helping to address the Responsible Consumption and Production Goal?

What are a few ways that AI is helping to address the Climate Action Goal?

Lesson 12 - AI for Sustainability and Good (Part 6)

Read about the UN's Life Below Water Goal by clicking on the link. Learn more by watching a 2-minute video to learn about this goal. Pattern recognition can track marine-life migration, population levels, and fishing activities to enhance sustainable marine ecosystems and combat illegal fishing. Let's see how AI is helping humankind meet this goal by watching the videos below:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

2. Goal 15 - Life on Land

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

3. "How is AI is doing good" challenge

What are a few ways that AI is helping to address the Life Below Water Goal?

What are a few ways that AI is helping to address the Life on Land Goal?

Lesson 13 - AI for Sustainability and Good (Part 7)

Goal 16 - Peace, Justice and Strong Institutions

Read about the UN's Peace, Justice and Strong Institutions Goal by clicking on the link. Watch a 2-minute video to learn about this goal and then watch a 1-minute video example. Did you know that the thoughtful application of AI can reduce discrimination, corruption, and drive broad access to e-government, personalized, and responsive intelligent services? AI can significantly stay ahead of global cyberthreats, the Cyber Kill Chain, in a manner not possible before. Now, let's learn how AI is helping humankind meet this goal by watching the videos below:

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

2. Goal 17 - Partnership for the Goals

Read about the UN's Partnership for the Goals Goal by clicking on the link. Watch a 2-minute video to learn about this goal and a 1-minute video example. Multi-sectoral collaboration is essential for the safe, ethical, and beneficial development of AI. ITU is working with other United Nations agencies and the XPRIZE Foundation, described by this 7-minute video, to conduct the new always online "AI for Good Global Summit", shown in this 1-minute video. The summit will bring together governments, industry, academia and civil society to explore the responsible development of human-centric AI in solving humanity's grand challenges, including accelerating the all-important SDGs. Let's learn how AI is helping humankind meet this goal by watching the videos below:

Watch the 1-minute video, AI and Multi-Stakeholder Participation and learn why a healthy AI with ethical norms and principals can only be through conversation and debate to ensure that it is achieved better, safer and more accessible in the future.

Here's a 5-minute video, Why Governing AI is Critical to Human Survival that will change every aspect of society, politics, the economy, and the government.

The AI For Good Summit is a great place to connect and to make progress using AI to meet the UN's and humankind's goals.

Do you want to be part of the solution and do something yourself about helping the world meet this goal - then watch this video!

3. "How is AI is doing good" challenge

What are a few ways that AI is helping to address the Peace, Justice and Strong Institutions Goal?

What are a few ways that AI is helping to address the Partnership for the Goals Goal?

Congratulations for finishing the Student's Guide!

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A Parent's Guide to Discussing AI - Net Literacy

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A Parent's Guide to Discussing AI This is a free and easy-to-use guide to support your teen learning what is AI, why it's important and how they can leverage it in their lives and careers. Because it has been designed for the average teen, it's comprised of curated short videos and a few hands-on ...

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By Raisa Masood | August 30, 2023

What is ChatGPT?

ChatGPT is a computer program that uses artificial intelligence (AI) to generate text. Launched by research company OpenAI, it gathers large amounts of data from the internet to create responses on demand. ChatGPT is unique because its answers are in conversational format, similar to how people write and speak. It can write essays and computer code, solve math problems, and much more.

How do you use ChatGPT?

To use ChatGPT, you first create a free account on the OpenAI website. Then you simply type questions or commands in the text box. Your requests can be as basic or elaborate as you can imagine. For example, you could ask it to write a story in the voice of your favorite movie character. Or ask it to give you a recipe based on the food you have at home. The tool allows you to continue to refine the answer by adding more instructions. ChatGPT saves a record of your conversations that you can view or continue at a later time.

Where does ChatGPT get its information?

To craft its responses, ChatGPT copies and remixes information from other places on the internet. It doesn't tell you its sources or who created the original information. As of this article's publication date, it uses internet data created up to 2021 only. The tool is still being developed, so it can make mistakes, spread misinformation, and give inaccurate answers.

Why are schools banning ChatGPT?

Many school districts are blocking ChatGPT on campus networks and school-issued devices. The concern is that students could use it to do their schoolwork for them, from writing papers to solving equations. They could also be turning in work with inaccurate information. Educators are worried the program could affect students' learning if they rely on it. Check with your children's school to see if and how they allow students to use ChatGPT.

Should children use ChatGPT?

OpenAI's Terms of Use state that users must be 13 or older. If you're under 18, you need your parent or guardian's permission to create an account. Keep in mind that kids could come across content that's not age-appropriate. In addition, ChatGPT collects personal information and user data. This info is used to improve the system and can be shared with third parties for things like advertising. Under the Children's Online Privacy Protection Act (COPPA), collecting personal information from children under the age of 13 is illegal without parental consent.

If kids are interested in using ChatGPT, the best option is to use it alongside an adult. Kids could use ChatGPT with a parent or caregiver to get ideas about things they're interested in, like writing code or music. Families can explore the tool together and try prompts that are fun, inspiring, or helpful. Ask it to write a play with parts for everyone, or put together a poem in Yoda's style to read out loud.

Since ChatGPT is a new program, there's a lot we don't know about it. As artificial intelligence tools become more available, it will be important for families to talk with kids about how to use them appropriately and responsibly.

How can I talk to my child about ChatGPT?

If your children use or want to use ChatGPT, consider talking about these topics:

Explain the importance of checking the credibility of a source before trusting the information, and point out that ChatGPT does not give sources for its information.

Help them understand that plagiarism is when you take someone else's work or ideas and present them as your own. Using ChatGPT to do your schoolwork could be considered plagiarism or cheating.

Talk about how you might use ChatGPT as a family to be creative or get inspired. Have it create a list of outdoor activities for kids, or ask it to suggest a craft project to try.

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Guide to ChatGPT for Parents and Caregivers

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Find out how the artificial intelligence (AI) tool works and how to talk with kids about it. Advice from Common Sense Media editors.

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CCSSO’s Artificial Intelligence (AI) Resource Hub |

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Welcome to CCSSO’s Artificial Intelligence (AI) Resource Hub — a repository for a wealth of AI resources from states across the nation. CCSSO is dedicated to empowering educators, policymakers, and the public with comprehensive, publicly available AI materials amid a rapidly developing landscape.

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Ethics in a Digital World: 9781564849014:Paperback,Books:Artificial Intelligence,Digital Citizenship and Media Literacy,Online Privacy and Safety

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This book poses six big ethical questions about technology and humanity while asking students to think critically about the technology around them.

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AI and the next digital divide in education | Brookings

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Michael Trucano discusses AI in educationand the potential for a third wave of the worldwide "digital divide."

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On April 19, 2024, the Office of Educational Technology hosted the U.S. Department of Education's first AI Literacy Day, a "nationwide day of action inviting students, parents, educators, and other community members" to better understand the role of AI in education. National AI Literacy Day is supported by the EDSAFE AI Alliance, a global initiative coordinated by InnovateEDU and powered by a coalition of organizations representing stakeholders across the education sector to provide global leadership for developing a safer, more secure, more equitable, and more trusted AI education ecosystem through a focus on research, policy, and practice.

The event's aim was to inspire further reflection, conversation, collaboration, and action with regards to AI in our lives. Deputy Secretary Cindy Marten welcomed the audience in pre-recorded remarks; she called upon all of us to continuously learn and adapt, acknowledging that there will be challenges but advising that a strong, shared vision for an AI-literate education system will unlock the transformative power of this new technology.

With a diverse lineup of speakers and insightful presentations, the event explored the many ways AI literacy might shape teaching and learning.

Speakers with Spark
The event's keynote speaker, Vanessa Parli, works to empower the next generation of AI leaders at Stanford's Institute for Human-Centered Artificial Intelligence (HAI). Through the historical iterations of AI, one can note the progression of AI systems and the growing AI integrations that have sparked and enhanced productivity and quality. "There is so much to know and not enough brain space or time to learn it," said Parli.

Nevertheless, she encouraged the audience to not be paralyzed by the feeling of "AI FOMO," even though she predicts almost everyone has it. During this early stage of development, AI holds a vast potential from benefiting from a diverse array of voices. An interdisciplinary team with society-centered, community-centered, and user-centered members can meaningfully identify the needs and wants from emerging technology, thereby fostering genuine societal benefits. This concept is the essence of Human-Centered Artificial Intelligence (HAI) which advances AI research, education, policy and practice to improve the human condition, the heart of Parli's work at Stanford.

Vanessa Parli presenting "FOMO in AI".

Next, Matthew Taylor ( Professional Learning Facilitator and Curriculum Developer, MIT RAISE) posed a pivotal question: "How should AI literacy happen?" Engaging teachers and students in a humanity-centered approach to AI is the most important first step. Schools and universities need professional development in AI that will teach educators and students how AI works while addressing biases, data privacy, and mindfulness in lesson planning.

From Taylor's professional learning sessions, teachers experienced increased confidence in AI literacy and curiosity, demonstrating momentous engagement. To effectively implement AI, teachers need to be well-engaged, given the necessary skills and time to apply them in practice, and provided space to reflect on their implementation.

Innovative Practitioners
The National Science Foundation's Dr. Erwin Gianchandani introduced the event's Spotlight Series, which showcased four professionals and their intentional approach to AI literacy to support students, educators, and families.
Sallie Holloway, Director of Artificial Intelligence and Computer Science at Gwinnett County Public Schools
Sallie Holloway is a Computer Science for All advocate and an educational leader in building high-quality and future-ready learning experiences. She works in Gwinnett County, Georgia, a large school system with diverse students, and is focusing on ensuring future readiness through AI readiness. Since 2019, Holloway has helped develop a framework to highlight essential skills for students in order to embed AI at all grade levels and content classes. Keeping humans in the loop has resulted in a shift in the tone of educators. According to Holloway, it is one of the most empowering moments in an evolving journey to hear teachers speak about the value they feel they have because of their shared leadership in this work.
Katherine Moore, Research Scientist, MIT Scheller Teacher Education Program (STEP) Lab
Kate (Katherine) Moore is a research scientist and program manager in the Everyday AI for Youth project at the MIT STEP Lab. Under the leadership of PI's Irene Lee and Helen Zhang, she served as key personnel in two NSF-funded studies to improve teacher and student AI literacy, focusing on middle school students. Moore believes AI literacy is crucial for informed decision-making and interdisciplinary learning. Almost everyone interacts with AI daily; for this reason, understanding AI is fundamental for making informed decisions. By giving students an age-appropriate definition of what AI is, students explore, sort, and discuss examples of AI technologies that are relevant to their everyday lives. Consequently, students activate their own ethical ideas as they design algorithms for diverse stakeholders using an ethical matrix. Lee, Zhang, Moore and their team incorporate and uplift student voice through intentional engagement as a foundational approach to developing critical thinking skills for and responsible use of AI in students.

David J. Malan presenting "AI in Computer Science".

David J. Malan, Gordan McKay Professor of Computer Science, Harvard University
David Malan is a Harvard professor for Computer Science 50 - one of Harvard's largest courses. Malan designed his classes to use software and the Rubber Duck Method to impose pedagogical guardrails. He also uses Generative AI (GAI) APIs to put downward pressure on being too helpful and instead, encourages critical thinking and academic honesty. Malan's initial embrace of the technology has resulted in his students responsibly and strategically using GAI as a thought partner and tutor to augment their educational experience. to augment their educational experience.
Elizabeth Cohn, Assistant Professor of Foreign Policy & Global Security, American University
Elizabeth Cohn discussed the impact of AI on student learning outcomes, focusing on the skills and knowledge needed for them to identify arguments and evaluate evidence. She suggested that AI can be helpful in various aspects of education, such as reading and writing. However, she also warned that the quickness of AI can lead to students giving up, asserting the need for persistence and grit in teaching and learning. In her classes, Cohn prioritizes providing an environment in which students feel good about asking for help. She intends to uphold and maintain academic integrity, academic rigor, and instructional tasks with exceptional quality in the student learning process.

Thought-Provoking Panelists
Knowing that AI has the potential to revolutionize teaching and learning, the panel addressed the need to embrace and then equip educational practitioners and learners. The panelists discussed the importance of AI literacy in teaching and learning, focusing on factors such as access, teacher-centered design, and ensuring all students have access to these tools.

Panel discussion on AI literacy in education (L to R): Dominique Dallas, Nathan Kriha, Vera Cubero, Alex Kotran, and Dr. Nicol Turner Lee

They outlined the challenges and opportunities of infrastructure development, accentuating the need for ongoing professional development (PD) for educators and media literacy. Vera Cubero, Western Region Consultant: Digital Teaching & Learning, North Carolina Department of Public Instruction emphasized: "[we] have to consider the children. I believe in getting the plan down and educating the district, stressing that educators need PD first that is ongoing and embedded. [That] needs to happen before we get the students on the tools." According to Cubero, involving teachers in the design process should be top of mind when implementing AI-generated content across the curriculum. They also highlighted the need to ensure children can think critically about AI before learning with AI.

Equitable access to education was a foundational theme during the panel discussion. While leveraging the technology in the classroom, educators should be mindful of racial biases that have surfaced in generative AI tools. Dr. Nicol Turner Lee, Senior Fellow in Governance Studies & Director of the Center for Technology Innovation (CTI) at the Brookings Institution,explained the integration of race and technology in education is a complex issue that requires careful consideration.

"Educators must ensure that all students are aware of the use of these technologies, as AI has the potential for us to use them in a way that they're not intended," said Lee. She noted that educators and leaders must build excitement for the technology and training to foster mindfulness of tools within a "culturally-efficacious and -centered framework", particularly for students of color. As well, adopting a community-centered and society-centered approach and making the conscious effort "to ensure parents are engaged in student' learning" may aid in preventing inequitable uses of AI. Therefore, as per Dr. Lee, it's fundamental to extend AI literacy beyond the classroom.

Additionally, panelists elevated the digital access divide. Alex Kotran, Founder and CEO of aiEDUsaid: "to talk about AI, we have to talk about the digital access divide. Let's make it a broader connectivity problem." The Education Trust's Nathan Kriha emphasized elevating the voices of teachers of color and students of color and students that are in lower income communities to understand their experiences with these technologies. "Visiting schools, especially schools most affected by the digital divide, is necessary to robustly understand this issue," stated Nathan.

Closing Keynote: Van Jones, U.S. media personality, entrepreneur, world-class changemaker

The Charge Towards Optimism
The closing speaker, political analyst and DreamMachine.org's Van Jones, urged the audience to adopt a techno-optimistic outlook on AI. According to Jones, generative AI as a disruptive technology is creating a golden opportunity to "place jetpacks on those who are often left behind or overlooked." Shifting away from the fear associated with AI encourages educators and educational leaders alike to ultimately embrace AI literacy as a tool of empowerment and innovation for the sake of students.

For more information, visit the first post in the multi-part blog series on AI literacy: AI Literacy 101: An Introduction to Artificial Intelligence.
This blog contains examples of resources that are provided for the user's convenience. The inclusion of these materials is not intended to reflect its importance, nor is it intended to endorse any views expressed, or products or services offered. These materials may contain the views and recommendations of various subject matter experts as well as hypertext links, contact addresses, and websites to information created and maintained by other public and private organizations. The opinions expressed in any of these materials do not necessarily reflect the positions or policies of the U.S. Department of Education. The U.S. Department of Education does not control or guarantee the accuracy, relevance, timeliness, or completeness of any outside information included in these materials.

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AI Literacy: Bridging the AI Literacy Gap in Education

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On April 19, 2024, the Office of Educational Technology hosted the U.S. Department of Education's first AI Literacy Day, a "nationwide day of action inviting students, parents, educators, and other...

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"The AI genie is out of the bottle," said Cynthia Breazeal, a professor of media arts and sciences at the Massachusetts Institute of Technology. "It's not just in the realm of computer science and coding. It is affecting all aspects of society. It's the machine under everything. It's critical for all students to have AI literacy if they are going to be using computers, or really, almost any type of technology" in their daily lives.

The question of what makes a person AI literate is evolving. But it involves delving into technical questions like: "What's happening under the hood? How does it work? How does it impact me and the world around us?" said Bryan Cox, the lead computer science specialist at the Georgia education department.

AI literacy is something that every student needs exposure to-not just those who are planning on a career in computer science, experts argue.

"When we all went to school, we learned how the light bulbs work or how the digestive system works or how photosynthesis works," said Hadi Partovi, the CEO of Code.org, which works to expand computer science offerings in K-12 schools. "And you teach those things to everybody, not just the botanists or the electricians or the surgeons. You learn [these things] to have a better understanding of your world. But most people don't know how the internet works, how a smartphone works, how an algorithm works, and they definitely don't know how AI works."

Here's how to begin developing AI literacy, according to experts and educators:

1. Why it's vital to have a basic understanding of how AI works

Grasping the technical aspects of AI-how the technology perceives the world, how it collects and processes data, and how those data can inform decisions and recommendations-can help temper the oftentimes inaccurate perception that AI is an all-knowing, infallible force, experts say.

"We need to demystify how these systems work, how you build these things, at a grade-appropriate kind of level, because there's so much hype and confusion," Breazeal said. "People talk about these things like a conscious ether that surrounds us. [Students] need to understand that we're really talking about [something] people actually make and control and engineer."

To be sure, some students can delve deeper into the inner workings of AI than others, she added. "If you're an AP Computer Science kid, you're going to get a little more in the technical weeds about it," Breazeal said.

But all students must grasp that the decisions that AI makes-whether it's to recommend a particular pair of boots to an Amazon customer or to flag a job applicant as a promising prospect for an employer-aren't driven by the same kind of nuanced and creative reasoning a human can perform.

Instead, it's "really advanced guesswork," Partovi said. "AI right now is based on probability and statistics. It makes errors. It can spread misinformation. It can have bias. Understanding how it actually works underneath is important so that people recognize the weaknesses it has."

And Partovi noted that students still need to learn how to write, even though the writing skills of technologies like ChatGPT are more sophisticated than most people might have imagined. The same idea applies to learning computer coding, he said. "The superpowers of AI are only available to people who know how to write or how to code," Partovi said.

Children in early-elementary school, for instance, could start with a simple lesson in which they identify the human organs-ears, eyes-involved in hearing and seeing and then find their technological counterparts -microphone, camera-on a digital device.

Students also need to understand how biases in the data that's used to train AI can allow the technology to continue to perpetuate discriminatory policies unless humans recognize the problem and do something about it.

2. Give students hands-on opportunities to understand how the technology works

One hands-on lesson for more advanced students: Give them a flawed historical dataset on which to train an AI system, Partovi said. For instance, students could create a program that gives suggested salary ranges for a company's employees.

If that program is informed using data in which women are paid less than men for doing the same job, the technology will probably propose lower salaries for female employees than for male workers. But if women are at salary parity with men in the dataset, the results will be more equitable.

There are other ways of illustrating how human subjectivity can penetrate AI's decisionmaking. For instance, the technology organizes information to draw conclusions, a less clear-cut process than students may initially realize.

To illustrate this, students in a middle school AI course that Georgia is piloting play a game in a physical classroom that initially asks students to decide whether something is edible or not, Cox said. Depending on their decisions, students choose where to stand in the room.

Some of the answers are obvious: A metal stop sign is not edible, for instance.

But there can be disagreement on a word like "chicken," which vegetarians in the class may claim is not edible.

From there, the game begins adding more and more categories and subcategories to the list of options, mimicking how AI algorithms can work.

During the activity, "great conversations erupt," said Cox from the Georgia education department. "And we'll talk to the students about how the computer is making those same determinations" based on the viewpoints of the majority of people it interacts with. And those determinations are often faulty ones.

3. Discuss and analyze ethical questions about the technology

Once students are aware that humans-and not some sentient robot-are behind how these tools analyze and communicate, they can think about them in a broader context.

And that raises all kinds of important and interesting ethical issues. In Georgia's middle school AI course, for instance, students might consider a case of passengers going to sleep in the backseat of a self-driving car while it continues along the road.

Then they'll unpack questions without easy answers: "What are the legal implications of that? Do we need to stop them from doing that? Or is AI to the point where you can actually sleep in the backseat of a car and let it drive itself?" Cox said.

Students consider questions like: Should all states ban facial-recognition software until it becomes more accurate? Or could it be used for some purposes but not others?

They can also discuss data-privacy concerns, including the implications of having devices such as smart speakers-Amazon's Alexa, Google Assistant, and Apple's Siri, among others-in homes. Teachers will pose questions: "How is that impacting you? Is it listening to you all the time? Is it sending information back to Google or Amazon all the time?" Cox said. "That's really one of the biggest things we wanted to be able to do is to help them guard against the unintended consequences of AI."

4. How to interact effectively with AI

Students will need to practice using AI tools to get information, the same way previous generations learned the card-catalog system to navigate the library.

ChatGPT, for instance, is deeply influenced by the prompt a user gives it, said Torrey Trust, an associate professor of learning technology in the College of Education at the University of Massachusetts Amherst.

For instance, a student could tell the tool to "'write about the American Revolution.' It's gonna give a very textbook response. And then you could say, 'well, write about 15 women who shaped the American Revolution or draw connections between 15 women today and the American Revolution,'" she said. "The way you prompt the tool completely changes the output and your thinking and learning."

The stakes in the real world, of course, can be a lot higher than a classroom assignment. Getting the prompt right can turn into a "matter of life and death" for a doctor using AI to pinpoint a diagnosis, Trust said.

That's why it's not a good idea to ban ChatGPT or other AI tools, as New York City and some other school districts have done, Partovi said. He noted that while the nation's largest public school district essentially banned the technology except for use in limited circumstances, at least one prominent Manhattan private school is offering instruction in "prompt engineering," an AI skill that could lead to a lucrative job. And that makes AI skill development an equity issue, some experts argue.

"I think a lot of the pushback was, 'well, why do people need to know computational thinking in English/language arts?'" Trust said. "And I think AI has made that more clear."

5. Let students know that AI skills are not just for computer science experts

Students need to be exposed to how AI is being used in the workforce today and how they might use the technology in their future careers, even if they don't go into a computer science field.

"There are all kinds of people involved in the design and deployment of AI-based solutions," Breazeal said. "One of the things we try to do is show [how AI impacts] very diverse roles, diverse industries so that kids can appreciate that 'chances are when I enter the workforce, if I'm not making these AI kinds of things, I'm probably at least using them in a way that helps me get my job done.'"

In fact, if students are going to enter a policy field-or simply vote in elections-they'll also need a grounding in how the technology works, said Leigh Ann DeLyser, the executive director and co-founder of CSforALL, a nonprofit organization, which seeks to help expand computer science education.

What's more, MIT's Breazeal and other experts say that AI will work best when it is designed by people who are part of the community that the tool is aimed at serving. Having people from a variety of backgrounds-racial, socioeconomic, age, gender, profession-can help root out some of the biases embedded in society and, therefore, AI.

"You have to take kids seriously," Breazeal said. "We want to empower them to say, 'I can make a difference right now.' So let's get you the education, the curriculum, the tools, the community so that you can make a difference. And that's super empowering for kids."

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Now that AI is expected to influence fields from medicine to policing, what do students need to understand about the technology?

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Mishka Espey Senior Manager, Media Relations

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Using Learning Science To Analyze the Risks and Benefits of AI in K-12 Education

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Before adopting AI tools, it is important that schools think critically about whether these tools will further divorce students from how their brains are primed to learn.