Priyanka Nanayakkara
Priyanka Nanayakkara
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The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
J Hullman, S Kapoor, P Nanayakkara, A Gelman, A Narayanan
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022
Unpacking the expressed consequences of AI research in broader impact statements
P Nanayakkara, J Hullman, N Diakopoulos
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 795-806, 2021
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases
P Nanayakkara, J Bater, X He, J Hullman, J Rogers
Proceedings on Privacy Enhancing Technologies 2022, 2022
Anticipatory ethics and the role of uncertainty
P Nanayakkara, N Diakopoulos, J Hullman
Navigating the Broader Impacts of AI Research Workshop at NeurIPS 2020, 2020
REFORMS: Reporting Standards for Machine Learning Based Science
S Kapoor, E Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, ...
arXiv preprint arXiv:2308.07832, 2023
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
P Nanayakkara, MA Smart, R Cummings, G Kaptchuk, EM Redmiles
32nd USENIX Security Symposium (USENIX Security 23), 1613-1630, 2023
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews
D Liu, P Nanayakkara, SA Sakha, G Abuhamad, SL Blodgett, ...
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022
What’s driving conflicts around differential privacy for the US Census
P Nanayakkara, J Hullman
IEEE Security & Privacy 21 (05), 33-42, 2023
Toward Better Communication of Uncertainty in Science Journalism
P Nanayakkara, J Hullman
Computation + Journalism, 2020
Whose Policy? Privacy Challenges of Decentralized Platforms
S Hwang, P Nanayakkara, Y Shvartzshnaider
CHI'23 Workshops: Designing Technology and Policy Simultaneously: Towards A …, 2023
Communicating Differential Privacy Guarantees to Data Subjects
P Nanayakkara
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