The disparate equilibria of algorithmic decision making when individuals invest rationally

@article{Liu2020TheDE,
  title={The disparate equilibria of algorithmic decision making when individuals invest rationally},
  author={Lydia T. Liu and Ashia C. Wilson and Nika Haghtalab and Adam Tauman Kalai and Christian Borgs and Jennifer T. Chayes},
  journal={Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency},
  year={2020}
}
  • Lydia T. Liu, Ashia C. Wilson, +3 authors Jennifer T. Chayes
  • Published 2020
  • Mathematics, Computer Science, Economics
  • Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
  • The long-term impact of algorithmic decision making is shaped by the dynamics between the deployed decision rule and individuals' response. Focusing on settings where each individual desires a positive classification---including many important applications such as hiring and school admissions, we study a dynamic learning setting where individuals invest in a positive outcome based on their group's expected gain and the decision rule is updated to maximize institutional benefit. By… CONTINUE READING

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