How do we fix content recommendation? I'm about to start a new job working on content recommendation at a FAANG company and I want to dig into ethical approaches to the problem. So far most techniques I have read about address privacy and bias. Bias is a very tricky topic to handle without introducing my personal inclinations. If I were to follow my internal compass I would end up censoring the personality cult I see on the right but I also acknowledge that the inverse situation is terrible. My conclusion is that any individual's attempt at addressing bias will only introduce their own so I should stay out of the political realm. Privacy is important but I don't think I'll be able to influence the company to collect less info and I'm not convinced that better privacy leads to better outcomes (cable news polarized us without personal information). I’m looking for evidence-based strategies or research on how to ethically and effectively manage a recommendation system. Any insights, links to studies, or arguments would be greatly appreciated. |