most citedPeer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

stat.AP2024★ 2 cited

Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing

Shiqi Fang, Zexun Chen, Jake Ansell

With the European Union's Artificial Intelligence Act taking effect on 1 August 2024, high-risk AI applications must adhere to stringent transparency and fairness standards. This p…

stat.ML2018

Tuning Fairness by Balancing Target Labels

Thomas Kehrenberg, Zexun Chen, Novi Quadrianto

The issue of fairness in machine learning models has recently attracted a lot of attention as ensuring it will ensure continued confidence of the general public in the deployment o…