Tom Zick

According to our database, Tom Zick authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

RewardBench: Evaluating Reward Models for Language Modeling.

Nathan Lambert, Valentina Pyatkin, Jacob Morrison, Lester James V. Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Comparing Apples to Oranges: A Taxonomy for Navigating the Global Landscape of AI Regulation.

Sacha Alanoca, Shira Gur-Arieh, Tom Zick, Kevin Klyman

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online.

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

CoRR, 2024

AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance.

Tom Zick, Mason Kortz, David Eaves, Finale Doshi-Velez

CoRR, 2024

RewardBench: Evaluating Reward Models for Language Modeling.

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

CoRR, 2024

2023

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

Nathan Lambert, Thomas Krendl Gilbert, Tom Zick

CoRR, 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

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

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