Designing Committees for Mitigating Biases


  • Michal Feldman Tel-Aviv University and Microsoft Research
  • Yishay Mansour Tel-Aviv University and Google Research
  • Noam Nisan Hebrew University
  • Sigal Oren Ben-Gurion University of the Negev
  • Moshe Tennenholtz Technion-Israel Institute of Technology



It is widely observed that individuals prefer to interact with others who are more similar to them (this phenomenon is termed homophily). This similarity manifests itself in various ways such as beliefs, values and education. Thus, it should not come as a surprise that when people make hiring choices, for example, their similarity to the candidate plays a role in their choice. In this paper, we suggest that putting the decision in the hands of a committee instead of a single person can reduce this bias.

We study a novel model of voting in which a committee of experts is constructed to reduce the biases of its members. We first present voting rules that optimally reduce the biases of a given committee. Our main results include the design of committees, for several settings, that are able to reach a nearly optimal (unbiased) choice. We also provide a thorough analysis of the trade-offs between the committee size and the obtained error. Our model is inherently different from the well-studied models of voting that focus on aggregation of preferences or on aggregation of information due to the introduction of similarity biases.




How to Cite

Feldman, M., Mansour, Y., Nisan, N., Oren, S., & Tennenholtz, M. (2020). Designing Committees for Mitigating Biases. Proceedings of the AAAI Conference on Artificial Intelligence, 34(02), 1942-1949.



AAAI Technical Track: Game Theory and Economic Paradigms