3 papers
cs.LG2026
From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse
Lena Marie Budde, Ayan Majumdar, Richard Uth +2
Algorithmic recourse aims to provide actionable recommendations that enable individuals to change unfavorable model outcomes, and prior work has extensively studied properties such…
cs.CL2026
Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study
Ayan Majumdar, Feihao Chen, Jinghui Li +1
Large-scale web-scraped text corpora used to train general-purpose AI models often contain harmful demographic-targeted social biases, creating a regulatory need for data auditing…
cs.LG2025
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination
Ayan Majumdar, Deborah D. Kanubala, Kavya Gupta +1
Fairness studies of algorithmic decision-making systems often simplify complex decision processes, such as bail or loan approvals, into binary classification tasks. However, these…