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On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis

On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis

8 July 2022
Ruta Binkyt.e
Ljupcho Grozdanovski
Sami Zhioua
    FaML
ArXivPDFHTML

Papers citing "On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis"

4 / 4 papers shown
Title
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
116
0
0
28 Feb 2025
Selection, Ignorability and Challenges With Causal Fairness
Selection, Ignorability and Challenges With Causal Fairness
Jake Fawkes
R. Evans
Dino Sejdinovic
86
19
0
28 Feb 2022
Promises and Challenges of Causality for Ethical Machine Learning
Promises and Challenges of Causality for Ethical Machine Learning
Aida Rahmattalabi
Alice Xiang
FaML
CML
113
8
0
26 Jan 2022
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
147
435
0
20 Feb 2013
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