Abigail Z. Jacobs

According to our database, Abigail Z. Jacobs authored at least 23 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An archival perspective on pretraining data.

Meera A. Desai, Irene V. Pasquetto, Abigail Z. Jacobs, Dallas Card

Patterns, 2024

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice.

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 Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark Lemley, danah boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna M. Wallach, Nicolas Papernot, Katherine Lee

CoRR, 2024

Evaluating Generative AI Systems is a Social Science Measurement Challenge.

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

CoRR, 2024

Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau's Adoption of Differential Privacy.

Amina A. Abdu, Lauren M. Chambers, Deirdre K. Mulligan, Abigail Z. Jacobs

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology.

Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs, Emanuel Moss, Mona Sloane

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Report of the 1st Workshop on Generative AI and Law.

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 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

CoRR, 2023

The Role of Relevance in Fair Ranking.

Aparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature.

Amina A. Abdu, Irene V. Pasquetto, Abigail Z. Jacobs

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Conceptualizing Algorithmic Stigmatization.

Nazanin Andalibi, Cassidy Pyle, Kristen Barta, Lu Xian, Abigail Z. Jacobs, Mark S. Ackerman

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021

A Large-Scale Comparative Study of Informal Social Networks in Firms.

Abigail Z. Jacobs, Duncan J. Watts

Manag. Sci., 2021

Measurement as governance in and for responsible AI.

Abigail Z. Jacobs

CoRR, 2021

Measurement and Fairness.

Abigail Z. Jacobs

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Internet-human infrastructures: Lessons from Havana's StreetNet.

Abigail Z. Jacobs, Michaelanne Dye

CoRR, 2020

The meaning and measurement of bias: lessons from natural language processing.

Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

Measurement and Fairness.

Abigail Z. Jacobs, Hanna M. Wallach

CoRR, 2019

2018

Assembly in populations of social networks.

Abigail Z. Jacobs

CoRR, 2018

2015

Learning latent block structure in weighted networks.

Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset

J. Complex Networks, 2015

Assembling thefacebook: Using Heterogeneity to Understand Online Social Network Assembly.

Abigail Z. Jacobs, Samuel F. Way, Johan Ugander, Aaron Clauset

Proceedings of the ACM Web Science Conference, 2015

2014

Efficiently inferring community structure in bipartite networks.

Daniel B. Larremore, Aaron Clauset, Abigail Z. Jacobs

CoRR, 2014

A unified view of generative models for networks: models, methods, opportunities, and challenges.

Abigail Z. Jacobs, Aaron Clauset

CoRR, 2014

2013

Adapting the Stochastic Block Model to Edge-Weighted Networks

Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset

CoRR, 2013

Detecting Friendship Within Dynamic Online Interaction Networks.

Sears A. Merritt, Abigail Z. Jacobs, Winter A. Mason, Aaron Clauset

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

2011

Adapting to Non-stationarity with Growing Expert Ensembles

Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Clauset

CoRR, 2011