Now, I don't know at what level that should begin. Probably somewhere around the high school level, when they're learning to do research projects and synthesize information from multiple sources, is when teaching AI literacy will be most important.
How does that benefit their development, learning, society as a whole?
Before you start in with "it'll help them get a job", full stop - education as a public good isn't strictly vocational technician work. It's not a work training for companies.
I find it easy to to into a long chat with an LLM about some project I'd like to try and what's involved with it. I find it easy to get into a chat with an LLM about a lot of things as a kind of unproductive excursion that my brain tells me at the time is 'useful'. I'm of average will, so I dread to think how this will work out with children who get to 'partner up with AI to assist them' or whatever marketing speak is used to obfuscate their goals. Then combine that with social developmental issues or below average focus.
It's bleak because the more entangled they get with the system the more they'll seek to push back regulations.
The right way to teach children to use AI is to teach them to scope, filter, design process, edit, refine. How to ask a question, how to think through steps, how to use language to describe all these things. Each kid has something that can think and respond as fast as they input.
The goal should be to perfect sequence and iteration, not skip to final output.
These skills also should NOT be framed in some kind of "teaching AI" as much as teaching communication and critical thinking and analysis. It is the exact same skills you need to solve problems and interact with humans.
You must not have much of an imagination then. Or maybe you're just being overdramatic? AI is arguably the best way to learn most subjects now. Frontier models have made a lot of progress on reducing hallucinations, and AI can teach you at whatever pace you're capable of learning it. There are very few topics it can't teach, and it can go into more depth than you'll find in any textbook.
How does it manage that, when it it only knows as much as is written in text books?