Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks.

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Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks Anthony M. Barrett ? *, Dan Hendrycks ? , Jessica Newman ? , Brandie Nonnecke ? ? UC Berkeley * Corresponding author: [email removed] This version last revised 23 February 2023 arXiv non-exclusive license ( https://arxiv.org/licenses/nonexclusive-distrib/1.0/license.html ) 1 Abstract Artificial intelligence (AI) systems can provide many beneficial capabilities but also risks of adverse events. Some AI systems could present risks of events with very high or catastrophic consequences at societal scale. The US National Institute of Standards and Technology (NIST) has been developing the NIST Artificial Intelligence Risk Management Framework (AI RMF) as voluntary guidance on AI risk assessment and management for AI developers and others. For addressing risks of events with catastrophic consequences, NIST indicated a need to translate from high level principles to ...

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• [1] https://arxiv.org/abs/2206.08966