This document, prepared in April 2022, discloses funding sources and interests of the current Executive Committee (EC) members.
All EC members state that:
Individual statements of funding and disclosures of interests are listed alphabetically below, and cover the period from April 2019 to April 2022 (36 months) following the funding disclosure instructions for authors.
Maria De-Arteaga is employed at the University of Texas at Austin, where she is an Assistant Professor in the Information, Risk and Operations Management Department, part of the McCombs School of Business; this is a public university, so she is an employee of the State of Texas. Through competitive proposals submitted through UT Austin and collaborating academic institutions, she has received grant funding from the National Institute of Health (NIH) and an unrestricted gift from Google (Google AI Award for Inclusion Research). Through competitive internal proposals, she has received funding from UT Austin’s Machine Learning Laboratory and from UT Austin’s Good Systems. A portion of the grant received through Good Systems is funded by MITRE. In 2018 she was the recipient of a Microsoft Research Dissertation Grant. She has a 25% stake at Early SAS, a data-driven investigative journalism organization in Colombia, which is currently inactive.
Meg Young is employed at Data and Society Research Institute, which is a 501c3 non-profit. The current funders of Data and Society are the MacArthur Foundation, Ford Foundation, Internet Society Foundation, Luminate, Open Society Foundations, Omidyar Network, Someland Foundation, Siegel Family Endowment, Robert Wood Johnson Foundation, and the Hewlett Foundation. Funding-related decisions at Data and Society are guided by a gift acceptance policy to maintain its independence; all funders past and present are posted on the organization's website. From 2020-2022, she was a postdoctoral fellow at Cornell Tech where her work was supported by a National Science Foundation grant. In this same time period, she was also an unpaid fellow for the City of New York Office of the CTO. Previously, she was a graduate student employee at the University of Washington Information School and Tech Policy Lab; her work from 2019-2020 was supported by grants from ACLU Washington, AXA Foundation, and the Scholars Strategy Network. She has worked as a contracted consultant to Cornell Tech in 2023 for the Urban Tech Hub to produce course materials, and University of Chicago from 2019-2020 to study the Knowledge Lab’s DARPA Ground Truth project. She was an intern at Microsoft Research in 2020.
Seth Lazar a professor of philosophy at the Australian National University, where he holds an Australian Research Council Future fellowship (2022-26). He also has an honorary (unremunerated) appointment with the Oxford Institute for Ethics in AI as a Distinguished Research Fellow. He leads a Templeton World Charity Foundation grant (2021-24), and an Australian Research Council Linkage grant (2022-2025), which is jointly funded by the ARC, ANU, Insurance Australia Group, and non-profit research organisation the Gradient Institute. He held further competitive Australian Research Council grants between 2017-22, and 2013-16. In 2022 he received a research grant in the form of an unrestricted gift from Google. In 2023 he will take up a funded one-term visiting fellowship with the Oxford Institute for Ethics in AI, and will give the Tanner lectures in AI and Human Values at Stanford, which is funded by the Obert C Tanner foundation. His other research funding has all come from the ANU, a public university.
You can reach FAccT’s Executive Committee at executive@facctconference.org
Aziz Huq is Frank and Bernice J. Greenberg Professor of Law at the University of Chicago, where he receives a salary. He has no corporate or governmental funding."
Berk Ustun is employed at the University of California, San Diego (September 2021 –present). He was previously employed by Google as a Visiting Scholar in the Responsible AI Organization (October 2020 – September 2021). Through competitive proposals submitted through UCSD and collaborating academic institutions, he has received grant funding from the National Science Foundation (ITE 2134904, IIS 2040880, IIS 2313105), part of which was provided as an unrestricted gift from Amazon to UCSD through the NSF Program on Fairness in Artificial Intelligence in Collaboration with Amazon (2021–). He has also received research grants from the National Institute of Health as part of the Bridge2AI Program (U54HG012510; from 2022 - 2026), as well an an Amazon Research Award (2022). In an individual capacity, he has received payment from the National Science Foundation for participating in grant review panels and from the Partnership on AI and from the Data and Society Research Institute for participating in various panels on responsible AI.
Sarah Fox is employed by Carnegie Mellon University, where she is an Assistant Professor of Human-Computer Interaction in the School of Computer Science. She has received grant funding from the National Science Foundation, the Department of Transportation, the Computing Research Association, and the Public Interest Technology University Network (an initiative of New America). She has also received internal funding from CMU research centers including the Block Center for Technology and Society and Traffic21 (a University Transportation Center supported by the Department of Transportation). Prior to CMU, Fox was a Postdoctoral Fellow at the University of California San Diego and a PhD student at the University of Washington, where her research was supported by the Design Lab and the National Science Foundation respectively. While a Visiting PhD Researcher at University of California, Berkeley, her work was additionally supported by Center for Technology, Society & Policy and the Center for Long-Term Cybersecurity. She was a research intern at Intel Labs in 2013, Microsoft Research in 2014, and Google in 2016.