3 papers
cs.CR2026
Preserving Target Distributions With Differentially Private Count Mechanisms
Nitin Kohli, Paul Laskowski
Differentially private mechanisms are increasingly used to publish tables of counts, where each entry represents the number of individuals belonging to a particular category. A dis…
cs.CR2026
Privacy, Prediction, and Allocation
Ben Jacobsen, Nitin Kohli
Algorithmic predictions are increasingly used to inform the allocation of scarce resources. The promise of these methods is that, through machine learning, they can better identify…
cs.HC2024
Provocation on Expertise in Social Impact Evaluations of Generative AI (and Beyond)
Zoe Kahn, Nitin Kohli
Social impact evaluations are emerging as a useful tool to understand, document, and evaluate the societal impacts of generative AI. In this provocation, we begin to think carefull…