4 papers · 1 filter
First-See-Then-Design: A Multi-Stakeholder View for Optimal Performance-Fairness Trade-Offs
Kavya Gupta, Nektarios Kalampalikis, Christoph Heitz +1
Fairness in algorithmic decision-making is often defined in the predictive space, where predictive performance - used as a proxy for decision-maker (DM) utility - is traded off aga…
Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches
Israel Abebe Azime, Deborah D. Kanubala, Tejumade Afonja +4
Large Language Models (LLMs) are increasingly employed in high-stakes decision-making tasks, such as loan approvals. While their applications expand across domains, LLMs struggle t…
Towards Reasonable Concept Bottleneck Models
Nektarios Kalampalikis, Kavya Gupta, Georgi Vitanov +1
We propose a novel, flexible, and efficient framework for designing Concept Bottleneck Models (CBMs) that enables practitioners to explicitly encode and extend their prior knowledg…
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…