Thomas Krendl Gilbert

27 papers A* 1C 4Journal 21Unranked 1

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