英美AI安全机构应如何向国际网络共享信息?
Which Information should the UK and US AISI share with an International Network of AISIs? Opportunities, Risks, and a Tentative Proposal
- 提出三类信息共享策略:主动共享、谨慎评估、明确不共享
- 建议根据国内优先级,分情况决策是否共享评估结果与标准
- 适合关注AI治理、国际政策协调的研究者和决策者
英国人工智能安全研究所(UK AISI)与美国相应机构处于新成立的国际AI安全研究所网络中的独特位置。两国均拥有前沿AI企业,正引领全球AI安全对话。本文认为,两机构应有选择地向国际网络共享特定类别信息,对部分信息明确不共享,并对某些类别采取个案评估,依据国内优先事项。文章进一步提出一个初步框架,帮助政策制定者和研究人员区分三类信息处理方式,考量共享潜在收益与风险,涵盖部署前评估结果至评估标准等信息。为深化相关研究,论文强调需持续监测影响共享决策的动态因素,并深入分析具体政策相关信息类别及未来研究中应考虑的其他因素。
原文摘要 · Abstract (English)
The UK AI Safety Institute (UK AISI) and its parallel organisation in the United States (US AISI) take up a unique position in the recently established International Network of AISIs. Both are in jurisdictions with frontier AI companies and are assuming leading roles in the international conversation on AI Safety. This paper argues that it is in the interest of both institutions to share specific categories of information with the International Network of AISIs, deliberately abstain from sharing others and carefully evaluate sharing some categories on a case by case basis, according to domestic priorities. The paper further proposes a provisional framework with which policymakers and researchers can distinguish between these three cases, taking into account the potential benefits and risks of sharing specific categories of information, ranging from pre-deployment evaluation results to evaluation standards. In an effort to further improve the research on AI policy relevant information sharing decisions, the paper emphasises the importance of continuously monitoring fluctuating factors influencing sharing decisions and a more in-depth analysis of specific policy relevant information categories and additional factors to consider in future research.
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