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2020 – today
- 2024
[i8]Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi:
RewardBench: Evaluating Reward Models for Language Modeling. CoRR abs/2403.13787 (2024)- [i7]Tom Zick, Mason Kortz, David Eaves, Finale Doshi-Velez:
AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance. CoRR abs/2404.14660 (2024) - [i6]Steven Adler, Zoë Hitzig, Shrey Jain, Catherine Brewer, Wayne Chang, Renee DiResta, Eddy Lazzarin, Sean McGregor, Wendy Seltzer, Divya Siddarth, Nouran Soliman, Tobin South, Connor Spelliscy, Manu Sporny, Varya Srivastava, John Bailey, Brian Christian, Andrew Critch, Ronnie Falcon, Heather Flanagan, Kim Hamilton Duffy, Eric Ho, Claire R. Leibowicz, Srikanth Nadhamuni, Alan Z. Rozenshtein, David Schnurr, Evan Shapiro, Lacey Strahm, Andrew Trask, Zoe Weinberg, Cedric Whitney, Tom Zick:
Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online. CoRR abs/2408.07892 (2024) - 2023
- [c2]Thomas Krendl Gilbert
, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta:
Reward Reports for Reinforcement Learning. AIES 2023: 84-130 - [i5]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
- [i4]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) - [i3]Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron J. Snoswell:
Reward Reports for Reinforcement Learning. CoRR abs/2204.10817 (2022) - 2021
- [i2]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) - [i1]Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick:
Axes for Sociotechnical Inquiry in AI Research. CoRR abs/2105.06551 (2021) - 2020
- [c1]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
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last updated on 2024-09-25 00:43 CEST by the dblp team
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