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Introducing v0.5 of the AI Safety Benchmark from MLCommons
April 19, 2024, 4:47 a.m. | Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane
cs.CL updates on arXiv.org arxiv.org
Abstract: This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safety risks of AI systems that use chat-tuned language models. We introduce a principled approach to specifying and constructing the benchmark, which for v0.5 covers only a single use case (an adult chatting to a general-purpose assistant in English), and a limited set of personas …
abstract ai systems arxiv benchmark chat cs.ai cs.cl language language models mlcommons paper risks safety systems type
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