A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics. - Roel Dobbe; Sarah Dean; Thomas Krendl Gilbert; Nitin Kohli (CoRR, 2018)

Towards a Just Theory of Measurement: A Principled Social Measurement Assurance Program for Machine Learning. - McKane Andrus; Thomas K. Gilbert (AIES, 2019)

Epistemic Therapy for Bias in Automated Decision-Making. - Thomas Krendl Gilbert; Yonatan Mintz (AIES, 2019)

Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments. - Roel Dobbe; Thomas Krendl Gilbert; Yonatan Mintz (AIES, 2020)

AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. - McKane Andrus; Sarah Dean; Thomas Krendl Gilbert; Nathan Lambert 001; Tom Zick (ISTAS, 2020)

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. - Miles Brundage; Shahar Avin; Jasmine Wang; Haydn Belfield; Gretchen Krueger; Gillian K. Hadfield; Heidy Khlaaf; Jingying Yang; Helen Toner; Ruth Fong; Tegan Maharaj; Pang Wei Koh; et al. (CoRR, 2020)

Hard choices in artificial intelligence. - Roel Dobbe; Thomas Krendl Gilbert; Yonatan Mintz (Artif. Intell., 2021)

Axes for Sociotechnical Inquiry in AI Research. - Sarah Dean; Thomas Krendl Gilbert; Nathan Lambert 001; Tom Zick (CoRR, 2021)

Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems. - Thomas Krendl Gilbert; Sarah Dean; Tom Zick; Nathan Lambert 001 (CoRR, 2022)

Reward Reports for Reinforcement Learning. - Thomas Krendl Gilbert; Sarah Dean; Nathan Lambert 001; Tom Zick; Aaron J. Snoswell (CoRR, 2022)

Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. - Thomas Krendl Gilbert; Aaron J. Snoswell; Michael Dennis 001; Rowan McAllister; Cathy Wu 002 (CoRR, 2022)

How to Assess Trustworthy AI in Practice. - Roberto V. Zicari; Julia Amann; Frédérick Bruneault; Megan Coffee; Boris Düdder; Eleanore Hickman; Alessio Gallucci; Thomas Krendl Gilbert; Thilo Hagendorff; Irmhild van Halem; Elisabeth Hildt; Sune Holm; et al. (CoRR, 2022)

Reward Reports for Reinforcement Learning. - Thomas Krendl Gilbert; Nathan Lambert 001; Sarah Dean; Tom Zick; Aaron J. Snoswell; Soham Mehta (AIES, 2023)

Designing Technology and Policy Simultaneously: Towards A Research Agenda and New Practice. - Qian Yang 004; Richmond Y. Wong; Thomas K. Gilbert; Margaret D. Hagan; Steven J. Jackson; Sabine Junginger; John Zimmerman (CHI Extended Abstracts, 2023)

Optimization's Neglected Normative Commitments. - Benjamin Laufer; Thomas Krendl Gilbert; Helen Nissenbaum (FAccT, 2023)

Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI. - Thomas Krendl Gilbert; Megan Welle Brozek; Andrew Brozek (CoRR, 2023)

Dynamic Documentation for AI Systems. - Soham Mehta; Anderson Rogers; Thomas Krendl Gilbert (CoRR, 2023)

Accountability Infrastructure: How to implement limits on platform optimization to protect population health. - Nathaniel Lubin; Thomas Krendl Gilbert (CoRR, 2023)

AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI. - Ayse Gizem Yasar; Andrew Chong; Evan Dong; Thomas Krendl Gilbert; Sarah Hladikova; Roland Maio; Carlos Mougan; Xudong Shen; Shubham Singh; Ana-Andreea Stoica; Savannah Thais; Miri Zilka (CoRR, 2023)

Entangled Preferences: The History and Risks of Reinforcement Learning and Human Feedback. - Nathan Lambert 001; Thomas Krendl Gilbert; Tom Zick (CoRR, 2023)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. - Stephen Casper; Xander Davies; Claudia Shi; Thomas Krendl Gilbert; Jérémy Scheurer; Javier Rando; Rachel Freedman; Tomasz Korbak; David Lindner; Pedro Freire; Tony Tong Wang; Samuel Marks; et al. (Trans. Mach. Learn. Res., 2023)

Lessons Learned from Assessing Trustworthy AI in Practice. - Dennis Vetter; Julia Amann; Frédérick Bruneault; Megan Coffee; Boris Düdder; Alessio Gallucci; Thomas Krendl Gilbert; Thilo Hagendorff; Irmhild van Halem; Eleanore Hickman; Elisabeth Hildt; Sune Holm; et al. (Digit. Soc., 2023)

The Future of HCI-Policy Collaboration. - Qian Yang 004; Richmond Y. Wong; Steven J. Jackson; Sabine Junginger; Margaret D. Hagan; Thomas Krendl Gilbert; John Zimmerman (CHI, 2024)