"Garbage in, garbage out"
— Someone in Machine Learning

TL;DR: This post is a two-page introduction to risks associated with recommendation AI. The negative externalities of recommendation AI seem neglected, and there might be comparatively effective work at improving governance and deploying better recommendation algorithms that generally keep the world on a more sane track. You might consider this a viable option if your AI timelines are over 10 years.

One aspect not discussed here is why having good recommendation AIs could be incredibly beneficial. Improved recommendation AI could enhance collective epistemic and encourage people to engage with important issues, ultimately advancing AI safety and many other important topics. It would be a key to fostering a flourishing civilization.