Thomas Krendl Gilbert

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Eligibility Traces

Autonomous Vehicles

Reinforcement Learning

Top Venues

Publications

Qian Yang, Richmond Y. Wong, Steven J. Jackson, Sabine Junginger, Margaret D. Hagan, Thomas Krendl Gilbert, John Zimmerman
The Future of HCI-Policy Collaboration. CHI (2024)
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
Lessons Learned from Assessing Trustworthy AI in Practice. Digit. Soc. 2 (3) (2023)
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
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. 2023 (2023)
Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta
Reward Reports for Reinforcement Learning. AIES (2023)
Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony 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
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR (2023)
Nathan Lambert, Thomas Krendl Gilbert, Tom Zick
Entangled Preferences: The History and Risks of Reinforcement Learning and Human Feedback. CoRR (2023)
Benjamin Laufer, Thomas Krendl Gilbert, Helen Nissenbaum
Optimization's Neglected Normative Commitments. CoRR (2023)
Thomas Krendl Gilbert, Megan Welle Brozek, Andrew Brozek
Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI. CoRR (2023)
Nathaniel Lubin, Thomas Krendl Gilbert
Accountability Infrastructure: How to implement limits on platform optimization to protect population health. CoRR (2023)
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
AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI. CoRR (2023)
Benjamin Laufer, Thomas Krendl Gilbert, Helen Nissenbaum
Optimization's Neglected Normative Commitments. FAccT (2023)
Soham Mehta, Anderson Rogers, Thomas Krendl Gilbert
Dynamic Documentation for AI Systems. CoRR (2023)
Thomas Krendl Gilbert, Sarah Dean, Tom Zick, Nathan Lambert
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems. CoRR (2022)
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
How to Assess Trustworthy AI in Practice. CoRR (2022)
Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. CoRR (2022)
Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron J. Snoswell
Reward Reports for Reinforcement Learning. CoRR (2022)
Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz
Hard choices in artificial intelligence. Artif. Intell. 300 (2021)
Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick
Axes for Sociotechnical Inquiry in AI Research. CoRR (2021)
McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. CoRR (2021)
Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz
Hard Choices in Artificial Intelligence. CoRR (2021)
Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments. AIES (2020)
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
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. CoRR (2020)
McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. ISTAS (2020)
Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments. CoRR (2019)
Thomas Krendl Gilbert, Yonatan Mintz
Epistemic Therapy for Bias in Automated Decision-Making. AIES (2019)
Roel Dobbe, Sarah Dean, Thomas Krendl Gilbert, Nitin Kohli
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics. CoRR (2018)