Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability · HackerPapers discussions

Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability — HN submission

Wed, 08 May 2019 07:18:01 GMT

Simplicity Creates Inequity

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability — mentioned by MAXPOOL

Thu, 31 Jan 2019 16:30:20 GMT

Not my exact field, but I keep track of the research for potential applications. The general vibe is that there are potentially large welfare gains to be achieved if algorithms, ML or statistical methods are integrated into human decision making in principled way. People have innate tendency treat noise as a signal. That does not mean that the dangers mentioned in the article are not real [2]. We should be very aware of them in their current forms and prevent repeating them. Few of my favorite papers: 1. Human Decisions and Machine Predictions The Quarterly Journal of Economics, Volume 133…

Paper and discussion history. A mention is not an endorsement.

Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability — HN submission

Sun, 28 Oct 2018 01:17:00 GMT

Why simple, interpretable algorithms can't be fair

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.