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.
Kshitij Kayastha (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: