Evaluating LLMs for gender disparities in notable persons
Source
- () p.
Beyond accuracy-fairness : stop evaluating bias mitigation methods solely on between-group metrics
Source
- () p.
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem
The impact of cloaking digital footprints on user privacy and personalization
Source
- () p.
Explainability methods to detect and measure discrimination in machine learning models
Source
EWAF’23 : European Workshop on Algorithmic Fairness, June 07–09, 2023, Winterthur, Switzerland-3442 () p. 1-5