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Panel
Panel
Panel
March
9
17:00
-
18:00
UTC
Add to Calendar 03/09/2021 05:00 PM 03/09/2021 06:00 PM UTC Causality, Fairness and its Limitations Check out this session on the FAccT Hub. https://2021.facctconference.org/conference-agenda/relevance-and-applicability-of-causality-for-algorithmic-fairness

Causality, Fairness and its Limitations

Session Chair:
Moderator:
Discussant:
Alix Dunn
ImaiImai
Kosuke
Imai
Harvard University
Kohler-HausmannKohler-Hausmann
Issa
Kohler-Hausmann
Yale Law School
SilvaSilva
Ricardo
Silva
Professor

Abstract

A panel focused on developments and applicability of causal modeling for algorithmic fairness. Given the increasing interest in the use of causality in machine learning (both in general and as a tool for bias mitigation), what is the potential for these approaches to be applied in the real world? What are the key challenges to putting these methods into practice?
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