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Thomas Krendl Gilbert
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2020 – today
- 2024
- [c8]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: 820:1-820:15 - 2023
- [j3]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): 35 (2023) - [j2]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) - [c7]Thomas Krendl Gilbert
, Nathan Lambert
, Sarah Dean
, Tom Zick
, Aaron J. Snoswell
, Soham Mehta
:
Reward Reports for Reinforcement Learning. AIES 2023: 84-130 - [c6]Qian Yang
, Richmond Y. Wong
, Thomas K. Gilbert
, Margaret D. Hagan
, Steven J. Jackson
, Sabine Junginger
, John Zimmerman
:
Designing Technology and Policy Simultaneously: Towards A Research Agenda and New Practice. CHI Extended Abstracts 2023: 343:1-343:6 - [c5]Benjamin Laufer
, Thomas Krendl Gilbert
, Helen Nissenbaum
:
Optimization's Neglected Normative Commitments. FAccT 2023: 50-63 - [i17]Thomas Krendl Gilbert, Megan Welle Brozek, Andrew Brozek:
Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI. CoRR abs/2302.12149 (2023) - [i16]Soham Mehta, Anderson Rogers, Thomas Krendl Gilbert:
Dynamic Documentation for AI Systems. CoRR abs/2303.10854 (2023) - [i15]Benjamin Laufer, Thomas Krendl Gilbert, Helen Nissenbaum:
Optimization's Neglected Normative Commitments. CoRR abs/2305.17465 (2023) - [i14]Nathaniel Lubin, Thomas Krendl Gilbert:
Accountability Infrastructure: How to implement limits on platform optimization to protect population health. CoRR abs/2306.07443 (2023) - [i13]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. CoRR abs/2307.15217 (2023) - [i12]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 abs/2308.02033 (2023) - [i11]Nathan Lambert, Thomas Krendl Gilbert, Tom Zick:
Entangled Preferences: The History and Risks of Reinforcement Learning and Human Feedback. CoRR abs/2310.13595 (2023) - 2022
- [i10]Thomas Krendl Gilbert, Sarah Dean, Tom Zick, Nathan Lambert:
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems. CoRR abs/2202.05716 (2022) - [i9]Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron J. Snoswell
:
Reward Reports for Reinforcement Learning. CoRR abs/2204.10817 (2022) - [i8]Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu:
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. CoRR abs/2205.07395 (2022) - [i7]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 abs/2206.09887 (2022) - 2021
- [j1]Roel Dobbe
, Thomas Krendl Gilbert, Yonatan Mintz
:
Hard choices in artificial intelligence. Artif. Intell. 300: 103555 (2021) - [i6]McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick:
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. CoRR abs/2102.04255 (2021) - [i5]Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick:
Axes for Sociotechnical Inquiry in AI Research. CoRR abs/2105.06551 (2021) - [i4]Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz:
Hard Choices in Artificial Intelligence. CoRR abs/2106.11022 (2021) - 2020
- [c4]Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz:
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments. AIES 2020: 242 - [c3]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: 72-79 - [i3]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 abs/2004.07213 (2020)
2010 – 2019
- 2019
- [c2]Thomas Krendl Gilbert, Yonatan Mintz:
Epistemic Therapy for Bias in Automated Decision-Making. AIES 2019: 61-67 - [c1]McKane Andrus, Thomas K. Gilbert:
Towards a Just Theory of Measurement: A Principled Social Measurement Assurance Program for Machine Learning. AIES 2019: 445-451 - [i2]Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz:
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments. CoRR abs/1911.09005 (2019) - 2018
- [i1]Roel Dobbe, Sarah Dean, Thomas Krendl Gilbert, Nitin Kohli:
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics. CoRR abs/1807.00553 (2018)
Coauthor Index
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last updated on 2024-08-10 00:30 CEST by the dblp team
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