Thomas Krendl Gilbert

According to our database, Thomas Krendl Gilbert authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

The Future of HCI-Policy Collaboration.

Qian Yang, Richmond Y. Wong, Steven J. Jackson, Sabine Junginger, Margaret D. Hagan, Thomas Krendl Gilbert, John Zimmerman

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

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, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Magnus Westerlund, Renee Wurth, Roberto V. Zicari

Digit. Soc., December, 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, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell

Trans. Mach. Learn. Res., 2023

Entangled Preferences: The History and Risks of Reinforcement Learning and Human Feedback.

Nathan Lambert, Thomas Krendl Gilbert, Tom Zick

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

Accountability Infrastructure: How to implement limits on platform optimization to protect population health.

Nathaniel Lubin, Thomas Krendl Gilbert

CoRR, 2023

Dynamic Documentation for AI Systems.

Soham Mehta, Anderson Rogers, Thomas Krendl Gilbert

CoRR, 2023

Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI.

Thomas Krendl Gilbert, Megan Welle Brozek, Andrew Brozek

CoRR, 2023

Optimization's Neglected Normative Commitments.

Benjamin Laufer, Thomas Krendl Gilbert, Helen Nissenbaum

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

Designing Technology and Policy Simultaneously: Towards A Research Agenda and New Practice.

Qian Yang, Richmond Y. Wong, Thomas K. Gilbert, Margaret D. Hagan, Steven J. Jackson, Sabine Junginger, John Zimmerman

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

Reward Reports for Reinforcement Learning.

Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

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, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Dennis Vetter, Magnus Westerlund, Renee Wurth

CoRR, 2022

Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles.

Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu

CoRR, 2022

Reward Reports for Reinforcement Learning.

Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron J. Snoswell

CoRR, 2022

Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems.

Thomas Krendl Gilbert, Sarah Dean, Tom Zick, Nathan Lambert

CoRR, 2022

2021

Axes for Sociotechnical Inquiry in AI Research.

Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick

CoRR, 2021

Hard choices in artificial intelligence.

Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz

Artif. Intell., 2021

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, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung

CoRR, 2020

AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks.

McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick

Proceedings of the IEEE International Symposium on Technology and Society, 2020

Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments.

Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Epistemic Therapy for Bias in Automated Decision-Making.

Thomas Krendl Gilbert, Yonatan Mintz

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Towards a Just Theory of Measurement: A Principled Social Measurement Assurance Program for Machine Learning.

McKane Andrus, Thomas K. Gilbert

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

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