Hey HN, author here! Thanks for reading. If you got through this article, I'm interested in hearing your thoughts! Feel free to PM me (@breandan or bre @ ndan .co). You might also enjoy reading about some of other articles I wrote about notation [1] or democratising education [2]:
It reminded me of how when AI won at Go, my first thought was, "Oh, now we just need to train it to teach humans to improve."
I hadn't before thought about how training the AI to teach would introduce bias. I think it would be fascinating to train an AI based on the best human teachers and then track the results on real kids to train it to get better over time -- but then who decides what "better" means?
I'm sure at first it would be an augmentation helping new teachers improve, but then who trains it what a better teacher means?
Thanks for the feedback! Thought about it, although I'd rather the writing speak for itself. I'm just a guy who enjoys writing. If you enjoy reading, you're welcome to follow me on GitHub or Twitter, sometimes I post interesting stuff:
[1]: http://breandan.net/2015/02/01/shorthand/
[2]: http://breandan.net/2016/04/13/equal-education-in-china/