Independent evaluation and red teaming are critical for identifying the risks
posed by generative AI systems. However, the terms of service and enforcement
strategies used by prominent AI companies to deter model misuse have
disincentives on good faith safety evaluations. This causes some researchers to
fear that conducting such research or releasing their findings will result in
account suspensions or legal reprisal. Although some companies offer researcher
access programs, they are an inadequate substitute for independent research
access, as they have limited community representation, receive inadequate
funding, and lack independence from corporate incentives. We propose that major
AI developers commit to providing a legal and technical safe harbor,
indemnifying public interest safety research and protecting it from the threat
of account suspensions or legal reprisal. These proposals emerged from our
collective experience conducting safety, privacy, and trustworthiness research
on generative AI systems, where norms and incentives could be better aligned
with public interests, without exacerbating model misuse. We believe these
commitments are a necessary step towards more inclusive and unimpeded community
efforts to tackle the risks of generative AI.

对生成式人工智能系统进行独立评估和红队测试对于识别风险至关重要，但主要人工智能公司用于阻止模型滥用的服务条款和执法策略对善意安全评估存在不利因素，因此一些研究人员担心进行此类研究或公开发现将导致账户暂停或法律报复。我们提议重要人工智能开发者承诺提供法律和技术的 “安全港”，为公共利益的安全研究提供保障，免于账户暂停或法律报复的威胁。我们相信这些承诺是朝着更具包容性和顺畅的社区合作努力，解决生成式人工智能的风险问题所需的必要步骤。