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 understanding 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, you can next learn 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?
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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.
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It’s as easy as using YouTube.
The Guide mostly uses engaging short videos to explain things so learning is interesting, fast and easy.
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A registration-free, ad free program and absolutely free program.
Everything on this site is free in every sense of the word.
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Prepare yourself for success.
Make your best education, career and life choices by learning about how AI is changing the world.
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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 Guide
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1
Get Ready!
Most people take two 30–60- minute sessions to cover each of the first three learning blocks. If you want to cover the material quickly, one session per day means that you’ll complete this program in less than 2 weeks!
1
Get Ready!
Most people take two 30–60- minute sessions to cover each of the first three learning blocks. If you want to cover the material quickly, one session per day means that you’ll complete this program in less than 2 weeks!
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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.
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.
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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!
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!
Learning Blocks
LEARNING BLOCK #1
Getting to Know AI (Part 1)
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.
Lesson #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.
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.
Lesson #2: 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.
Lesson #3: 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.
Want to learn more? Watch these 2-3 minute videos about how algorithms influence your behavior.
Lesson #4: 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.
LEARNING BLOCK #2
Getting to Know AI (Part 2)
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.
Lesson #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:
Lesson #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:
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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!
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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 and read the step-by-step online directions. Whoever said that learning about AI is really hard—was wrong!
Lesson #3: Challenge yourself – watch a video and answer a question
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- Watch the 7-minute video 10 AI Examples in Real Life: How Artificial Intelligence Impacts Everyday Life and then answer the question: name 3-5 ways that people use AI today.
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How Can You Prepare Yourself for 2030, one that’s filled with AI? Watch this 3-minute video and then think about a couple ways you can prepare.
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First, watch this 5-minute video The Computer as Artists: AI Art and Music. Then, take this test by clicking on Was This Artwork Made by a Human or a Robot and see if you can guess if a human or AI painted a picture, wrote a poem or produce a song.
LEARNING BLOCK #3
When Seeing Is No Longer Believing
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.
Lesson #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.
Lesson #2: 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.
Lesson #3: 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.
Lesson #4: 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 Which Face Is Real 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?
Lesson #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.
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This 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.
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Watch this 4-minute video about Artbreeder, it’s part tool, part game, part social network, free software 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.
LEARNING BLOCK #4
Don’t Let Deepfakes Fake You Out
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.
Lesson #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.
Lesson #2: 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.
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.
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, watch this 2-minute video and try your luck at solving a brain teaser challenge using critical thinking skills.
Lesson #3: 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.
Lesson #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.
Lesson #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?
LEARNING BLOCK #5
Ethical AI – Why Ethical AI Is So Important (Part 1)
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.
Lesson #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 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:
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.
Lesson #2: 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:
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This 5-minute video explains some potential risks and worst-case risks that having ethical AI would help us avoid.
LEARNING BLOCK #6
Ethical AI – Why Ethical AI Is So Important (Part 2)
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.
Lesson #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?
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.
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!
Lesson #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.
Lesson #3: Challenge yourself – watch a video and answer a question
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AI and video surveillance is monitoring our personal information and that can be good, or bad. What are some of the positives and negatives of combining AI and video surveillance? Do you feel video surveillance is more positive or more negative.
LEARNING BLOCK #7
AI for Sustainability and Good (Part 1)
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!
Lesson #1: Goal 1 – No Poverty
Read about the UN’s No Poverty Goal by clicking on the link.
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:
Lesson #2: Goal 2 – Zero Hunger
Read about the UN’s actual Zero Hunger Goal by clicking on the link then watch the video below. 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:
Lesson #3: 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 below 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:
Lesson #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?
LEARNING BLOCK #8
AI for Sustainability and Good (Part 2)
Lesson #1: Goal 4 – Quality Education
Read about the UN’s Quality Education Goal by clicking on the link. Then, learn more by watching these two videos:
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:
Lesson #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:
Lesson #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 these two videos that show 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:
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Here’s a 7-minute video about how 25% of all new wells drilled stop working within four years, and how AI is solving this problem.
Do you want to be part of the solution and do something yourself about helping the world meet this goal – then watch this video:
Lesson #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?
LEARNING BLOCK #9
AI for Sustainability and Good (Part 3)
Lesson #1: Goal 7 – Affordable and Clean Energy
Read about the UN’s Affordable and Clean Energy Goal then, learn more by watching this 3-minute video:
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:
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Learn how AI is increasing clean energy with smart control centers, integrated microgrids, improved safety and reliability, expanding the market, and intelligent storage units.
Do you want to be part of the solution and do something yourself about helping the world meet this goal – then watch this video:
Lesson #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 this 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:
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Check out this 4-minute video that explains the jobs and industries that will be most affected by AI and those who will benefit.
Do you want to be part of the solution and do something yourself about helping the world meet this goal – then watch this video:
Lesson #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?
LEARNING BLOCK #10
AI for Sustainability and Good (Part 4)
Lesson #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 about this goal by watching this 3-minute video:
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:
Lesson #2: Goal 10 – Reduced Inequities
Read about the UN’s Reduced Inequities Goal by clicking on the link. Then, learn more by watching these videos about the goal and 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:
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Watch an 11-minute video, How Will Artificial Intelligence Affect Income Inequality?, and explore if AI will spur extraordinary improvements in the quality of life or cause massive unemployment?
Do you want to be part of the solution and do something yourself about helping the world meet this goal – then watch this video:
Lesson #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?
LEARNING BLOCK #11
AI for Sustainability and Good (Part 5)
Lesson #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 this 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:
Lesson #2: Goal 12 – Responsible Consumption and Production
Read about the UN’s Responsible Consumption and Production Goal by clicking on the link. Then, learn more by watching this 3-minute video about the 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:
Lesson #3: Goal 13 – Climate Action
Read about the UN’s Climate Action Goal by clicking on the link. Then learn more by the goal by watching these two videos:
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:
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This video shows how AI can help reduce climate change with energy forecasts, methane leaks and new materials.
Do you want to be part of the solution and do something yourself about helping the world meet this goal – then watch this video:
Lesson #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?
LEARNING BLOCK #12
AI for Sustainability and Good (Part 6)
Lesson #1: Goal 14 – Life Below Water
Read about the UN’s Life Below Water Goal by clicking on the link then watch this 2-minute video to learn about the 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:
Lesson #2: Goal 15 – Life on Land
Read about the UN’s Life on Land Goal then watch these videos to learn more about the goal and how it’s 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:
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Watch a 2-minute video to see how AI helps farmers detect diseased plants, diagnosis them and manage them better.
Do you want to be part of the solution and do something yourself about helping the world meet this goal – then watch this video:
Lesson #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?
LEARNING BLOCK #13
AI for Sustainability and Good (Part 7)
Lesson #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 these videos to learn more about the goal with an 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:
These two, 1-minute videos, introduce the importance of freedom of expression, privacy, participation in public life, discrimination and biases.
Do you want to be part of the solution and do something yourself about helping the world meet this goal – then watch this video:
Lesson #2: Goal 17 – Partnership for the Goals
Read about the UN’s Partnership for the Goals Goal by clicking on the link.
Then watch the two following videos to learn more about the goal and an example of it.
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
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:
Lesson #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?