Decomposing Counterfactual Explanations for Consequential Decision Making

no code implementations • 3 Nov 2022 • Martin Pawelczyk, Lea Tiyavorabun, Gjergji Kasneci

In this work, we develop \texttt{DEAR} (DisEntangling Algorithmic Recourse), a novel and practical recourse framework that bridges the gap between the IMF and the strong causal assumptions.

counterfactual Decision Making

[Re] Badder Seeds: Reproducing the Evaluation of Lexical Methods for Bias Measurement

1 code implementation • 3 Jun 2022 • Jille van der Togt, Lea Tiyavorabun, Matteo Rosati, Giulio Starace

Combating bias in NLP requires bias measurement.