Abigail Z. Jacobs

32 papers A* 3A 1Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge. ICML (Position Papers) Hanna M. Wallach, Meera A. Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas J. Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
2025	J	`jnl`	Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge. CoRR Hanna M. Wallach, Meera A. Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
2024	—	`conf`	Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau's Adoption of Differential Privacy. FAccT Amina A. Abdu, Lauren M. Chambers, Deirdre K. Mulligan, Abigail Z. Jacobs
2024	J	`jnl`	Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau's Adoption of Differential Privacy. CoRR Amina A. Abdu, Lauren M. Chambers, Deirdre K. Mulligan, Abigail Z. Jacobs
2024	J	`jnl`	An archival perspective on pretraining data. Patterns Meera A. Desai, Irene V. Pasquetto, Abigail Z. Jacobs, Dallas Card
2024	J	`jnl`	Evaluating Generative AI Systems is a Social Science Measurement Challenge. CoRR Hanna M. Wallach, Meera A. Desai, Nicholas Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alexandra Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
2024	J	`jnl`	Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice. CoRR A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Ziyu Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando A. Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark A. Lemley, danah boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna M. Wallach, Nicolas Papernot, Katherine Lee
2024	A*	`conf`	The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology. CHI Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, Emanuel Moss, Mona Sloane
2024	J	`jnl`	The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology. CoRR Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, Emanuel Moss, Mona Sloane
2023	—	`conf`	An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature. FAccT Amina A. Abdu, Irene V. Pasquetto, Abigail Z. Jacobs
2023	J	`jnl`	An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature. CoRR Amina A. Abdu, Irene V. Pasquetto, Abigail Z. Jacobs
2023	A*	`conf`	Conceptualizing Algorithmic Stigmatization. CHI Nazanin Andalibi, Cassidy Pyle, Kristen Barta, Lu Xian, Abigail Z. Jacobs, Mark S. Ackerman
2023	J	`jnl`	Report of the 1st Workshop on Generative AI and Law. CoRR A. Feder Cooper, Katherine Lee, James Grimmelmann, Daphne Ippolito, Christopher Callison-Burch, Christopher A. Choquette-Choo, Niloofar Mireshghallah, Miles Brundage, David Mimno, Madiha Zahrah Choksi, Jack M. Balkin, Nicholas Carlini, Christopher De Sa, Jonathan Frankle, Deep Ganguli, Bryant Gipson, Andres Guadamuz, Swee Leng Harris, Abigail Z. Jacobs, Elizabeth Joh, Gautam Kamath, Mark A. Lemley, Cass Matthews, Christine McLeavey, Corynne McSherry, Milad Nasr, Paul Ohm, Adam Roberts, Tom Rubin, Pamela Samuelson, Ludwig Schubert, Kristen Vaccaro, Luis Villa, Felix Wu, Elana Zeide
2023	A*	`conf`	The Role of Relevance in Fair Ranking. SIGIR Aparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega
2023	J	`jnl`	The Role of Relevance in Fair Ranking. CoRR Aparna Balagopalan, Abigail Z. Jacobs, Asia Biega
2021	J	`jnl`	A Large-Scale Comparative Study of Informal Social Networks in Firms. Manag. Sci. Abigail Z. Jacobs, Duncan J. Watts
2021	—	`conf`	Measurement and Fairness. FAccT Abigail Z. Jacobs
2021	J	`jnl`	Measurement as governance in and for responsible AI. CoRR Abigail Z. Jacobs
2020	J	`jnl`	Internet-human infrastructures: Lessons from Havana's StreetNet. CoRR Abigail Z. Jacobs, Michaelanne Dye
2020	—	`conf`	The meaning and measurement of bias: lessons from natural language processing. FAT* Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
2019	J	`jnl`	Measurement and Fairness. CoRR Abigail Z. Jacobs, Hanna M. Wallach
2018	J	`jnl`	Assembly in populations of social networks. CoRR Abigail Z. Jacobs
2015	—	`conf`	Assembling thefacebook: Using Heterogeneity to Understand Online Social Network Assembly. WebSci Abigail Z. Jacobs, Samuel F. Way, Johan Ugander, Aaron Clauset
2015	J	`jnl`	Assembling thefacebook: Using heterogeneity to understand online social network assembly. CoRR Abigail Z. Jacobs, Samuel F. Way, Johan Ugander, Aaron Clauset
2015	J	`jnl`	Learning latent block structure in weighted networks. J. Complex Networks Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset
2014	J	`jnl`	A unified view of generative models for networks: models, methods, opportunities, and challenges. CoRR Abigail Z. Jacobs, Aaron Clauset
2014	J	`jnl`	Efficiently inferring community structure in bipartite networks. CoRR Daniel B. Larremore, Aaron Clauset, Abigail Z. Jacobs
2014	J	`jnl`	Learning Latent Block Structure in Weighted Networks. CoRR Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset
2013	J	`jnl`	Adapting the Stochastic Block Model to Edge-Weighted Networks CoRR Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset
2013	J	`jnl`	Detecting Friendship Within Dynamic Online Interaction Networks CoRR Sears A. Merritt, Abigail Z. Jacobs, Winter A. Mason, Aaron Clauset
2013	A	`conf`	Detecting Friendship Within Dynamic Online Interaction Networks. ICWSM Sears A. Merritt, Abigail Z. Jacobs, Winter A. Mason, Aaron Clauset
2011	J	`jnl`	Adapting to Non-stationarity with Growing Expert Ensembles CoRR Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Clauset