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2020 – today
- 2024
[c3]Noam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink, Thomas Woodside:
Responsible Reporting for Frontier AI Development. AIES (1) 2024: 768-783- [i5]Noam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink, Thomas Woodside:
Responsible Reporting for Frontier AI Development. CoRR abs/2404.02675 (2024) - 2023
- [c2]Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks:
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. EMNLP 2023: 16369-16382 - [c1]Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Hanlin Zhang, Scott Emmons, Dan Hendrycks:
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark. ICML 2023: 26837-26867 - [i4]Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks:
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. CoRR abs/2301.00876 (2023) - [i3]Matthew Burtell, Thomas Woodside:
Artificial Influence: An Analysis Of AI-Driven Persuasion. CoRR abs/2303.08721 (2023) - [i2]Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Jonathan Ng, Hanlin Zhang, Scott Emmons, Dan Hendrycks:
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark. CoRR abs/2304.03279 (2023) - [i1]Dan Hendrycks, Mantas Mazeika, Thomas Woodside:
An Overview of Catastrophic AI Risks. CoRR abs/2306.12001 (2023)
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