Fundamentals of AI Lectures: A Teacher’s Top Recommendations for Parents and Kids
The soccer team’s whistles were already blowing across the parking lot last Tuesday when three parents cornered me by my classroom door. I was wiping dry erase marker off my board, one hand stuffed in my backpack, the other holding a half-eaten honey granola bar I’d grabbed for lunch. All three had kids in my 8th grade introductory tech class, and they all asked the same question: We want to learn the basics of AI together at home, can you point us to a good fundamentals of AI lecture?
I’ve gotten this question at least once a week for the past six months. A year ago, I’d just fumble and point to the first free university lecture that popped up on Google. But then my own son Javi, who’s in 10th grade, had a research project on AI ethics, and we spent a rainy Friday night bouncing between half a dozen lectures that just didn’t work. One was two hours long and full of calculus I hadn’t thought about since college. Another was a sales pitch for a new AI tool from a big tech company, no actual basics just hype. A third was so vague it only talked about robot takeovers, never explaining how the AI Javi uses to edit his YouTube videos actually works. By the end of the night, we ordered a second pizza and gave up, but I made a note to test out every public fundamentals of AI lecture I could find, to have a solid list ready when people asked.
First up, for middle schoolers and parents who are totally new to the topic, my go-to is the 45-minute “What Actually Is AI? Fundamentals for Everyone” recorded at Code.org’s 2023 Computer Science Education Week. The speaker is a high school CS teacher from Detroit, not a Stanford professor or a CEO, and she talks like she’s chatting to a room of kids and their parents, not a room of engineers. When she explains neural networks, she doesn’t throw up a page of formulas. She uses the example of teaching a computer to tell the difference between a cat photo and a dog photo, the same kind of photos most of us have hundreds of in our phone albums. She breaks down training data in plain language, and spends 10 minutes at the end talking about why that matters for things like social media feeds and college recommendation algorithms. Javi watched it with me that first test run, and he actually paused it halfway through to ask how the AI that suggests songs on his Spotify knew he liked old punk rock more than new pop. That’s the mark of a good lecture, when it makes people ask questions instead of zoning out.
If you’ve got a high schooler who’s seriously interested in computer science, or you’re a teacher looking for a lecture to show in an upper level class, I recommend the 1-hour “Fundamentals of Artificial Intelligence” from Stanford Online’s free K-12 education series. I was worried it would be too dry, but the professor leading it structures it to build slowly. He makes a really clear distinction between narrow AI (the kind we use every day) and general AI (the kind you see in movies) that most lectures muddle together. I showed this to my 10th grade CS elective last semester, and the part that stuck with the kids was the 10 minutes he spends on AI bias. He uses the example of an old facial recognition tool that couldn’t correctly identify Black women because it was only trained on photos of white men. It’s not an afterthought, it’s built into the basics of how AI works, which I love. The only catch is there’s a tiny bit of basic high school level probability in the middle, but it’s easy to skip if you don’t need that depth, or pause to work through it if you do.
For parents who just want a quick, no-fluff lecture to get caught up on what their kid is already talking about, I always send the 30-minute “AI Basics for Parents and Caregivers” from Common Sense Education. The speaker is a parent and an ed tech consultant, so she doesn’t waste time on jargon or hype. She covers exactly what parents care about: which common apps kids use every day run on AI, what basic concepts your kid is learning in school about AI, and what questions you can ask them to talk about safe use. I sent this to a mom of a 12 year old back in March, and she emailed me a week later saying she had no idea the art app her daughter used to make stickers for her laptop was trained on millions of copyrighted artist work. They ended up sitting down and looking for alternative apps that license work from independent creators, after they watched the lecture together. That’s exactly the kind of change a good basic lecture can make, it doesn’t have to be big.
A lot of people ask me what the best way to use these lectures is, and I always tell them two concrete things. First, if you’re watching with your kid, pick a lecture that’s under an hour, and plan to pause it at least two or three times. You don’t have to be an expert to ask a simple question like, “Have you used an AI that works like that?” or “Do you think that sounds fair?” Second, don’t feel like you have to watch a three-hour graduate level lecture to understand the basics. Most people just need the core ideas, not a degree, so a 30 or 45 minute lecture is more than enough.
I still add new lectures to my list every month. Last night, Javi sent me a link to a 20-minute lecture from a gaming YouTuber he likes that breaks down neural networks using Minecraft examples. I haven’t had a chance to watch it yet, but I’m planning to this weekend after we fold laundry. The ones I have now work for 90% of the people who ask, but every kid and every parent is different. Some want more depth, some just want the basics. That’s the thing about learning something new, there’s no one perfect fit, but these three have worked well enough for almost everyone I’ve sent them to.
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