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, J., J. Ludwig, S. Mullainathan, et al. “Discrimination in the Age of Algorithms”. In: Journal of Legal Analysis 10 (2018), pp. 113-174. DOI: 10.1093/jla/laz001.

  • Hangartner, D., D. Kopp, and M. Siegenthaler. “Monitoring Hiring Discrimination Through Online Recruitment Platforms”. In: Nature 589.7843 (2021), pp. 572-576. DOI: 10.1038/s41586-020-03136-0.

Further reading

  • Bertrand, M. and S. Mullainathan. “Are Emily and Greg More Employable Than Lakisha And Jamal? A Field Experiment on Labor Market Discrimination”. In: American Economic Review 94.4 (2004), pp. 991-1013. DOI: 10.3386/w9873.

  • Edelman, B., M. Luca, and D. Svirsky. “Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment”. In: American Economic Journal: Applied Economics 9.2 (2017), pp. 1-22. DOI: 10.1257/app.20160213.

Acknowledgments

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