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A Student’s Guide to Understanding AI   

A Student’s Guide to Understanding AI   

This is a free and easy-to-use guide to help accelerate your understand of AI, why it’s important and how you can leverage it in your life and career.  It uses mostly short YouTube videos, with a few articles, hands-on experiments and online games to show you what AI does rather than how AI does it.  This isn’t a math, coding or technology-focused program.  Once you’ve completed this Guide, check out learning how to code or about AI technology by checking out the free online courses at Good Practices and Resources.

Why should you use this Guide?

  • No math or coding background needed. This is a learn-at-your-own pace program designed for the average teen who knows how to use a smartphone.
  • It’s as easy as using YouTube.  The Guide mostly uses engaging short videos to explain things so 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 yourself for success. Make your best education, career and life choices by learning about how AI is changing the world.
  • Help make our world a better place.  Learn how AI is tackling some of humankind’s most challenging problems and how you can volunteer to make a difference.

Quick Start 1-2-3

  1. Get ready!  This Guide is divided into 13 lessons and each lesson takes most people about 60-minutes 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.
  2. Get set!  Find a comfortable and quiet place to listen to the videos at home or at an ICT (computer) lab.  You can use a smartphone, but we recommend using a laptop when possible.
  3. Go!  Read and watch the videos in the lesson. Take the challenge 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)

    1. An easy way to understand AI
    2. Myths and misunderstandings about AI
    3. But I don’t use AI – how we use AI in our everyday lives
    4. Thinking about how AI fits into our world today and our tomorrow

Lesson 2 – Getting to Know AI  (Part 2)

    1. Some of the best short videos about AI
    2. Easy hands-on AI experiments
    3. Challenge yourself – watch a video and answer a question

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)

    1. What does ethical AI mean?
    2. Why is it so important?

Lesson 6 – Ethical AI – Why Ethical AI Is So Important  (Part 2)

    1. Take this challenge to learn why is it so difficult to develop ethical AI
    2. How can we work together to build ethical AI?
    3. Some of the best short videos about ethical AI
    4. Challenge yourself – watch a video and answer a question

Lesson 7 – AI for Sustainability and Good  (Part 1)

    1. Goal 1 – No Poverty
    2. Goal 2 – Zero Hunger
    3. Goal 3 – Good Health and Well-Being
    4. “How is AI doing good” challenge

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

    1. Goal 4 – Quality Education
    2. Goal 5 – Gender Equality
    3. Goal 6 – Clean Water and Sanitation
    4. “How is AI doing good” challenge

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

    1. Goal 7 – Affordable and Clean Energy
    2. Goal 8 – Decent Work and Economic Growth
    3. “How is AI doing good” challenge

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

    1. Goal 9 – Industry, Innovation and Infrastructure
    2. Goal 10 – Reduced Inequalities
    3. “How is AI doing good” challenge

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

    1. Goal 11 – Sustainable Cities and Communities
    2. Goal 12 – Responsible Consumption and Production
    3. Goal 13 – Climate Action
    4. “How is AI doing good” challenge

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

    1. Goal 14 – Life Below Water
    2. Goal 15 – Life on Land
    3. “How is AI doing good” challenge

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

    1. Goal 16 – Peace, Justice and Strong Institutions
    2. Goal 17 – Partnership for the
    3. “How is AI doing good” challenge

 

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.

  1. An easy way to understand AI 

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.

  1. 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.

  1. But I don’t use AI – how we use AI in our everyday lives

In a recent survey about AI, of the adult respondents who said that they’ve never used AI before, 63% were actually using it. They just weren’t aware that they were.  Let’s explore and discuss how AI is changing our world by watching a 1-minute video, AI for the Sustainable Development Goals and then see how we’re using AI in our everyday life by watching this 5-minute video, Are You Using AI?

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.

  1. 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:

  • Can AI be creative? Watch Blue Jeans and Bloody Tears, a 4-minute video about a song that was made by AI.  Could you tell that it was created by AI? Can AI be creative?
  • Machine learning is a type of AI that enables the system to automatically learn and improve from their experiences.  Check out this 6-minute video, How Does Your Phone Know This Is A Dog?
  • If you’re a secondary or university student who’d like a little more of a technical explanation about What is Artificial Intelligence?, watch this 5-minute video.
  • Here’s an optional video.  If you have extra time some evening, watch a 90-minute movie, AlphaGo – The Movie.  It’s one of the best and most interesting documentaries about AI that has ever been produced.

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.

  1. 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.

  1. 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.

  1. How to tell if an image is fake

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.

  1. 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

  • Watch Seeing is Not Always Believing, a 30-second video and then answer the question: is seeing believing?
  • Watch Smoking/Slight of Hand Trick, a 4-minute video viewed 8 million times and answer the question: is seeing believing?
  • Watch 9 Viral Photos, a 6-minute video and take the challenge – which photos are real, which are fake and which are half real and half fake?

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.

  1. What are deepfakes?

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.

  1. Tips to tell if a video is fake 

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.

  1. How hard is it to make a deepfake?

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

  • Check out CNN’s very, very cool mashup about deepfakes and Take the quiz: Can you spot the deepfake?  How did you do?
  • Check out this 1-minute video about Princess Leia Fixed using Deepfakes and decide if you feel that the actual movie or the deepfake looks more realistic.  At first, I thought the deepfake looked more realistic.
  • Real or fake?  Watch DeepFake Detectors AIs Are Good Too!– this 5-minute somewhat more technical video also discusses how deepfake detectors work.  Can you tell which of the videos were fake at 34 seconds into the video?

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.

  1. What does ethical AI mean?

Ethical AI is composed of two words, ethical and AI. Ethics means the moral principles that govern the behavior and actions of a group or individual. AI is the theory and development of computer systems able to perform tasks normally requiring human intelligence.  AI can produce biased results if it is trained with biased data or if it is developed in a way that doesn’t avoid bias.  We should be talking about these issues because we are the people who will be deciding what society looks like in an AI and robotized world. AI will eventually create AI, and this is why a code of ethics that prioritizes ethical considerations at the beginning of design is so important. Watch this 3-minute video about AI For Good – Ethics to learn more.

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.

  1. Why is important that AI be ethical?

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:

  • Ten risks presented by AI is a 5-minute video that explains some potential risks and worst-case risks that having ethical AI would help us avoid.
  • The Fight Over Police Use of Facial Recognition Technology is a fascinating 19-minute video that examines the issues surrounding the police use of facial recognition technology.
  • Moral Code: The Ethics of AI is an easy-to-watch and engaging 8-minute video that explores the impact of bias, importance of transparency, who is responsible for AI ethics, and how the ethics issue is the tip of a much bigger AI iceberg.

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!

  1. Goal 1 – No Poverty

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!

  1. Goal 2 – Zero Hunger 

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!

  1. Goal 3 – Good Health and Well-Being

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)

  1.  Goal 4 – Quality Education 

Read about the UN’s Quality Education Goal by clicking on the link. Then, learn more by watching a 3-minute video and a 1-minute video about this goal. Virtualized, intelligent mentors and responsive personalized learning is revolutionizing education, and improving participation and outcomes — all powered by AI. Online providers such as Coursera have AI-produced granular information for effective learning. Big data analysis is improv­ing graduation rates of low-income and first-generation college stu­dents by 30%, spotting warning signs before dropout to allow targeted interventions.  Let’s see how AI is addressing this goal – click on the videos below 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!

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

Read about the UN’s Clean Water and Sanitation Goal by clicking on the link.  Then, learn more by watching a 2-minute video and a 1-minute video that shows how saving water and AI helps meet this goal. The Internet-of-Things (IoT) and sensors feeding into the AI of Everything are predicting sanitation and consumption patterns for improved safe water and sanitation provisioning.  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!

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)

  1.  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:

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)

  1. 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 

Read about the UN’s Reduced Inequities Goal by clicking on the link.  Then, learn more by watching a 2-minute video about this goal and then a 4-minute video about how inequity affected two girls in Indonesia. Human augmentation using AI-inspired devices both internally and externally provides super senses and knowledge, enhanced physical capabilities, and corrects disabilities yielding a more equal and inclusive society.  Now, let’s learn more about how AI is impacting 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.   “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)

  1. 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 

Read about the UN’s Climate Action Goal by clicking on the link.  Learn more by watching a 3-minute video about this goal and then a 1-minute video that offers a little more information. Did you know that climate change data analysis and climate modeling infused with AI pre­dicts climate-related problems and disasters?  Let’s learn more and 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!

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)

  1. Goal 14 – Life Below Water

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 

Read about the UN’s Life on Land Goal by clicking on the link.  Watch a 2-minute video to learn about this goal and a 1-minute video to see one way the goal is being achieved.  Pattern recognition, game theory, and wide applications of computer science can track land-animal migration, population levels, and hunting activities to enhance sustainable land ecosystems and combat ille­gal poaching.  Now, let’s learn more about 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!

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)

  1. 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:

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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