Week 7: Fighting Discrimination
Instructions
While last week was about how machine learning and big data can hurt vulnerable minorities, this week’s meeting is about the opposite: How can the same be used to fight discrimination?
Required readings
- Kleinberg, Jon and Ludwig, Jens and Mullainathan, Sendhil and Sunstein, Cass R (2018). Discrimination in the Age of Algorithms. Journal of Legal Analysis, 10, pp. 113–174.
- Hangartner, Dominik and Kopp, Daniel and Siegenthaler, Michael (2021). Monitoring Hiring Discrimination Through Online Recruitment Platforms. Nature, 589(7843), pp. 572–576.
Further reading
- Bertrand, Marianne and Mullainathan, Sendhil (2004). Are Emily and Greg More Employable Than Lakisha And Jamal? A Field Experiment on Labor Market Discrimination. American Economic Review, 94(4), pp. 991–1013.
- Edelman, Benjamin and Luca, Michael and Svirsky, Dan (2017). Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment. American Economic Journal: Applied Economics, 9(2), pp. 1–22.