Algorithmic fairness describes how biases in algorithm design or execution can produce biases in outputs. ## algorithmic fairness in the news - Facebook was [accused of job ad gender discrimination](https://www.vox.com/identities/2019/9/25/20883446/facebook-job-ads-discrimination) for recommending different types of job postings to men and women, which was in fact a violation of the Equal Opportunity Employment Act. - Eric L. Loomis was [sent to prison for a term computed by an algorithm](https://www.nytimes.com/2017/05/01/us/politics/sent-to-prison-by-a-software-programs-secret-algorithms.html) that could not be fully explained. ## books on algorithmic fairness - [Weapons of Math Destruction by Cathy O'Neil](https://www.goodreads.com/book/show/28186015-weapons-of-math-destruction) - [The Filter Bubble by Eli Pariser](https://www.goodreads.com/book/show/10596103-the-filter-bubble) - [Algorithms of Oppression by Safiya Umoja Noble](https://www.goodreads.com/book/show/34762552-algorithms-of-oppression) - [Republic by Cass R Sunstein](https://www.goodreads.com/book/show/31951525-republic)