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Fairness and Randomness in Predictive Systems - Dr. Katie Creel, Northeastern University

Tuesday, December 10, 2024, 02:00pm - 03:30pm

152 Frelinghuysen Rd, Psych Bldg, Busch Campus, Room 105

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Abstract: Algorithmic monocultures occur when many decision-makers use the same predictive system. A monoculture ensures consistency, but also amplifies the weaknesses, biases, and idiosyncrasies of the original predictive system. Algorithmic monoculture can lead to consistent ill-treatment of individual people by homogenizing the decision outcomes they experience. When the same person re-encounters the same or similar models, she might be wrongly rejected again and again. We propose stochastic procedures that reduce the homogeneity of decision outcomes by relying on . In doing so, we take a step back from the predictive performance or fairness of individual models to focus instead on the fairness of the decision ecosystem as a whole.

Recommended Reading:
https://www.cambridge.org/core/journals/canadian-journal-of-philosophy/article/algorithmic-leviathan-arbitrariness-fairness-and-opportunity-in-algorithmic-decisionmaking-systems/3AA0ECA77F8622488E9DB0834287215B

 

Bio: Dr. Katie Creel