Sohini Upadhyay

schoolHarvard Universitybar_chart#4750 Global Rank

Total Papers

HCI Rank

#4750

Research Areas

Years Active

Recent Publications

"It just requires so much more creativity": Barriers and Workarounds to Gathering Information for AI Contestation

Gathering information about AI systems is essential for contesting their use; it forms the basis of arguments about how AI is causing harm. Information thus plays a central role for advocates like lawyers, journalists, and auditors contesting harmful AI systems. However, there is little systematic understanding of how…

IUI '251st AuthorExplainable AI (XAI) +1

Counterfactual Explanations May Not Be the Best Algorithmic Recourse Approach

Algorithmic recourse is a rapidly developing subfield in explainable AI (XAI) concerned with providing individuals subject to adverse high-stakes algorithmic outcomes with explanations indicating how to reverse said outcomes. While XAI research in the machine learning community doesn't confine itself to counterfactual…

CHI '242nd AuthorAI Ethics, Fairness & Accountability +2

Understanding Contestability on the Margins: Implications for the Design of Algorithmic Decision-making in Public Services

Policymakers have established that the ability to contest decisions made by or with algorithms is core to responsible artificial intelligence (AI). However, there has been a disconnect between research on contestability of algorithms, and what the situated practice of contestation looks like in contexts across the wor…

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