Algorithmic Recourse

Authors

  • Kshitij Kayastha Drexel University, Philadelphia, PA

DOI:

https://doi.org/10.1609/aies.v8i3.36784

Abstract

With the rapid deployment of algorithms in high-stakes domains such as finance, healthcare, and justice, recourse has emerged as a critical tool in explainable AI. Algorithmic Recourse provides individuals with recommendations to reverse unfavorable outcomes, addressing the growing need for transparency and accountability in automated decision-making systems. My research investigates the design of recourse methods that are not only effective but also fair, robust, and grounded in ethical considerations.

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Published

2025-10-15

How to Cite

Kayastha, K. (2025). Algorithmic Recourse. Proceedings of the AAAI ACM Conference on AI, Ethics, and Society, 8(3), 2893–2895. https://doi.org/10.1609/aies.v8i3.36784