2 papers
cs.LG2022
Decomposing Counterfactual Explanations for Consequential Decision Making
Martin Pawelczyk, Lea Tiyavorabun, Gjergji Kasneci
The goal of algorithmic recourse is to reverse unfavorable decisions (e.g., from loan denial to approval) under automated decision making by suggesting actionable feature changes (…
cs.CL2022
[Re] Badder Seeds: Reproducing the Evaluation of Lexical Methods for Bias Measurement
Jille van der Togt, Lea Tiyavorabun, Matteo Rosati +1
Combating bias in NLP requires bias measurement. Bias measurement is almost always achieved by using lexicons of seed terms, i.e. sets of words specifying stereotypes or dimensions…