Selected talks & conferences
June & July: I am on the planning committee for the Human and Organizational Factors in AI Risk Management: Workshop series hosted by the National Academies
︎︎︎ Workshop on Human and Organizational Factors in AI Risk Management: Evaluation, Testing, and Oversight. Organizing Committee The National Academies of Sciences, Engineering, and Medicine, June 20, 2024
[ Event recording ]
︎︎︎Workshop on Human and Organizational Factors in AI Risk Management: Designing Paths Forward in AI Risk Management. The National Academies of Sciences, Engineering, and Medicine, July 2, 2024, Washington D.C.
[ Register for online or in person ]
International Conference on Computational Social Science, July 2024. Joint work with Meera Desai and Dallas Card
Privacy Law Scholars Conference, May 2024. Joint work with Amina Abdu
Annual Ethical AI Symposium, Michigan Institute for Data Science, University of Michigan, April 2024. Keynote speaker.
Carnegie Mellon, Human-Computer Interaction Institute seminar, March 2024
SoLaR 2023: Socially Responsible Language Modelling Research, NeurIPS Workshop, December 2023.
TADA 2023: New Directions in Analyzing Text as Data, November 2023.
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]
First Workshop on Generative AI and the Law (GenLaw), July 2023. Invited participant. [Report]
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
︎︎︎ Workshop on Human and Organizational Factors in AI Risk Management: Evaluation, Testing, and Oversight. Organizing Committee The National Academies of Sciences, Engineering, and Medicine, June 20, 2024
[ Event recording ]
︎︎︎Workshop on Human and Organizational Factors in AI Risk Management: Designing Paths Forward in AI Risk Management. The National Academies of Sciences, Engineering, and Medicine, July 2, 2024, Washington D.C.
[ Register for online or in person ]
International Conference on Computational Social Science, July 2024. Joint work with Meera Desai and Dallas Card
Privacy Law Scholars Conference, May 2024. Joint work with Amina Abdu
Annual Ethical AI Symposium, Michigan Institute for Data Science, University of Michigan, April 2024. Keynote speaker.
Carnegie Mellon, Human-Computer Interaction Institute seminar, March 2024
SoLaR 2023: Socially Responsible Language Modelling Research, NeurIPS Workshop, December 2023.
TADA 2023: New Directions in Analyzing Text as Data, November 2023.
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]
First Workshop on Generative AI and the Law (GenLaw), July 2023. Invited participant. [Report]
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