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Evan R. Murphy
Evan R. Murphy
Non-Resident Research Fellow, AISI, CLTC, UC Berkeley; Director, AI Governance & Safety Canada
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
AI risk-management standards profile for general-purpose AI systems (GPAIS) and foundation models
AM Barrett, J Newman, B Nonnecke, D Hendrycks, ER Murphy, K Jackson
Center for Long-Term Cybersecurity, UC Berkeley. https://perma. cc/8W6P-2UUK, 2023
242023
Benchmark Early and Red Team Often: A Framework for Assessing and Managing Dual-Use Hazards of AI Foundation Models
AM Barrett, K Jackson, ER Murphy, N Madkour, J Newman
arXiv preprint arXiv:2405.10986, 2024
102024
Affirmative safety: An approach to risk management for high-risk AI
AR Wasil, J Clymer, D Krueger, E Dardaman, S Campos, ER Murphy
arXiv preprint arXiv:2406.15371, 2024
102024
Intolerable Risk Threshold Recommendations for Artificial Intelligence
D Raman, N Madkour, ER Murphy, K Jackson, J Newman
arXiv preprint arXiv:2503.05812, 2025
72025
AI Risk-Management Standards Profile for General-Purpose AI (GPAI) and Foundation Models
AM Barrett, J Newman, B Nonnecke, N Madkour, D Hendrycks, ...
52025
Affirmative Safety: An Approach to Risk Management for Advanced AI
A Wasil, J Clymer, D Krueger, E Dardaman, S Campos, ER Murphy
Available at SSRN 4806274, 2024
32024
Survey of Search Engine Safeguards and their Applicability for AI
E Murphy, N Madkour, D Raman, K Jackson, J Cussins Newman
Available at SSRN 5372880, 2025
2025
Intolerable Risk Threshold Recommendations for Artificial Intelligence: Key Principles, Considerations, and Case Studies to Inform Industry and Government for Frontier AI …
D Raman, N Madkour, ER Murphy, K Jackson, J Newman
https://cltc.berkeley.edu/wp-content/uploads/2025/02/Intolerable-Risk …, 2025
2025
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