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Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation

Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation

Peter Barnett
Lisa Thiergart
    ELM
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Papers citing "Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation"

4 / 4 papers shown
Title
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
Teun van der Weij
Felix Hofstätter
Ollie Jaffe
Samuel F. Brown
Francis Rhys Ward
ELM
60
27
0
11 Jun 2024
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
Richard Fang
Antony Kellermann
Akul Gupta
Qiusi Zhan
Richard Fang
R. Bindu
Daniel Kang
LLMAG
49
32
0
02 Jun 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
85
84
0
25 Jan 2024
Frontier AI Regulation: Managing Emerging Risks to Public Safety
Frontier AI Regulation: Managing Emerging Risks to Public Safety
Markus Anderljung
Joslyn Barnhart
Anton Korinek
Jade Leung
Cullen O'Keefe
...
Jonas Schuett
Yonadav Shavit
Divya Siddarth
Robert F. Trager
Kevin J. Wolf
SILM
63
121
0
06 Jul 2023

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