Selected talks & conferences


Carnegie Mellon, Human-Computer Interaction Institute seminar, March 2024

SoLaR 2023: Socially Responsible Language Modelling Research, NeurIPS Workshop, December 2023. Joint work with Meera Desai, Dallas Card

TADA 2023: New Directions in Analyzing Text as Data, November 2023. Joint work with Meera Desai, Dallas Card

Emory, Quantitative Theory and Methods seminar, October 2023

University of Maryland, Values-Centered Artificial Intelligence seminar, October 2023

Co-organizer: “Operationalizing the Measure Function of the NIST AI Risk Management Framework,” co-organized with the Center for Advancing Safety of Machine Intelligence (CASMI); the NIST-National Science Foundation (NSF) Institute for Trustworthy AI in Law & Society (TRAILS); and the Federation of American Scientists (FAS). October 2023 [writeup]

Organizer: “Sociotechnical Approaches to Measurement and Validation for Safety in AI” Workshop, hosted by the Center for Advancing Safety of Machine Intelligence (CASMI). July 2023 [writeup]

Privacy Law Scholars Conference, June 2023. Joint work with Amina Abdu, Lauren Chambers, Deirdre K. Mulligan

University of Washington Center for an Informed Public. May 2023

Yale Law School, Information Society Project, Data (Re)Makes the World. March 2023. Joint work with Amina Abdu, Lauren Chambers, Deirdre K. Mulligan

Carnegie Mellon University, Statistics seminar. October 2022

Stanford Graduate School of Business, Organizational Behavior seminar. October 2022

Data & Society, The Social Life of Algorithmic Harms workshop, 2022.
Joint work with Andrea Thomer and Jeff Lockhart

NeurIPS Workshop on AI for Science: Mind the Gaps. [short paper: Scientific Argument with Supervised Learning with Jeff Lockhart] December 2021

KDD Workshop on Measures and Best Practices for Responsible AI. [short paper: Measurement as governance in and for responsible AI] August 2021

Networks 2021 [paper: A large-scale comparative study of informal social networks in firms] July 2021

Networked Justice symposium at Networks 2021. June 2021

Organizer: Statistical Inference for Network Models symposium at Networks 2021. June 2021 

Machine learning and economic inequality conference. Invited speaker. [video: Measurement as governance, slides] April 2021

ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2021 [paper: Measurement and Fairness] March 2021

NIST Workshop on Bias in AI. Panelist. August 2020

Michigan Institute for Data Science Workshop on Learning environments in the time of COVID-19: (Towards) Evidence-Driven Innovation and Resilience at the University of Michigan. Organizer. June 2020

WebConf Workshop on Innovative Ideas in Data Science. Nominated for best paper. [short paper: Internet-Human Infrastructures: Lessons from Havana’s StreetNet] April 2020

ACM Conference on Fairness, Accountability, and Transparency (FAccT) Translation Tutorial: The Meaning and Measurement of Bias: Lessons from NLP. with Su Lin Blodgett, Solon Barocas, Hal Daumé III, & Hanna Wallach. [slides, relevant paper, video] January 2020

International Conference on Computational Social Science (IC2S2) July 2019

Women in Tech: The Future of AI Symposium. Panelist: Accountability in AI. November 2018

International Conference on Computational Social Science (IC2S2) July 2018

International Conference on Web and Social Media (ICWSM) Beyond Online Data workshop. Nominated for best paper award. June 2018

Algorithmic Fairness & Opacity Summer Workshop Panelist: Bias in Algorithms [Summary] June 2018




Abigail Z. Jacobs she/her/hers
azjacobs + umich + edu