aka intelligence amplification, not artificial intelligence (automation).
"how people's behavior will change as a result of automation [with examples of learning]" is learning-focussed - a similar focus to experimental MVPs that teach you technology and market needs.
Literal, linear amplification is easy, but amplifying intricate tasks, reducing work while retaining control is difficult. You need to understand them to some extent, which requires the data of experience. There's no simple formula to "automate" this...
Abstractions like libraries, modules and data types are one way. Going to fundamentals, number is a great abstraction: automating addition and multiplication doesn't lose important control. But if you create a bad abstraction, you'll have to change the interface semantics, which may easily have far-reaching effects.
It's incredil;y, almost impossibly hard to come up with great amplifications - even Euclid didn't come up with a positional number notation.
Instead of perfection, we should try for some improvement. And this article's suggestion of how
behaviour will change - especially learning - seems a good start.
"how people's behavior will change as a result of automation [with examples of learning]" is learning-focussed - a similar focus to experimental MVPs that teach you technology and market needs.
Literal, linear amplification is easy, but amplifying intricate tasks, reducing work while retaining control is difficult. You need to understand them to some extent, which requires the data of experience. There's no simple formula to "automate" this...
Abstractions like libraries, modules and data types are one way. Going to fundamentals, number is a great abstraction: automating addition and multiplication doesn't lose important control. But if you create a bad abstraction, you'll have to change the interface semantics, which may easily have far-reaching effects.
It's incredil;y, almost impossibly hard to come up with great amplifications - even Euclid didn't come up with a positional number notation.
Instead of perfection, we should try for some improvement. And this article's suggestion of how behaviour will change - especially learning - seems a good start.