Showing 1–20 of 21 results
/ Date/ Name
Sep 12, 2023An Empirical Analysis of Racial Categories in the Algorithmic Fairness LiteratureSep 13, 2021Measurement as governance in and for responsible AINov 17, 2024Evaluating Generative AI Systems is a Social Science Measurement ChallengeMay 29, 2024Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau's Adoption of Differential PrivacyMar 26, 2013Detecting Friendship Within Dynamic Online Interaction NetworksFeb 1, 2025Position: Evaluating Generative AI Systems Is a Social Science Measurement ChallengeMay 9, 2023The Role of Relevance in Fair RankingNov 14, 2014A unified view of generative models for networks: models, methods, opportunities, and challengesNov 4, 2018Assembly in populations of social networksNov 11, 2018Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disordersMar 12, 2014Efficiently inferring community structure in bipartite networksMar 4, 2011Adapting to Non-stationarity with Growing Expert EnsemblesNov 11, 2023Report of the 1st Workshop on Generative AI and LawMay 18, 2015Untangling the roles of parasites in food webs with generative network modelsDec 9, 2024Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and ResearchDec 11, 2019Measurement and FairnessApr 25, 2020Internet-human infrastructures: Lessons from Havana's StreetNetApr 2, 2014Learning Latent Block Structure in Weighted NetworksMay 24, 2013Adapting the Stochastic Block Model to Edge-Weighted NetworksJan 19, 2024The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology