Responsible.ai

Overview

Designing AI that’s fair, transparent, accountable, and aligned with human values: work on bias mitigation, interpretable models, privacy-preserving methods, and policy frameworks to ensure ethical deployment of AI in society.

Recent Publications

• System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes

  Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel

  Proceedings of the 2024 ACM Conference on Fairness (2024)

• Shapley Values for Explanation in Two-sided Matching Applications.

  Suraj Shetiya, Ian P Swift, Abolfazl Asudeh, Gautam Das

  EDBT (2024)

• Compact Representatives of Databases and Responsible Data Management

  Suraj Shetiya

  The University of Texas at Arlington (2023)

No publications found