In light of recent advancements in AI capabilities and the increasingly widespread integration of AI systems into society, governments worldwide are actively seeking to mitigate the potential harms and risks associated with these technologies through regulation and other governance tools. However, there exist significant gaps between governance aspirations and the current state of the technical tooling necessary for their realisation. In this position paper, we survey policy documents published by public-sector institutions in the EU, US, and China to highlight specific areas of disconnect between the technical requirements necessary for enacting proposed policy actions, and the current technical state of the art. Our analysis motivates a call for tighter integration of the AI/ML research community within AI governance in order to i) catalyse technical research aimed at bridging the gap between current and supposed technical underpinnings of regulatory action, as well as ii) increase the level of technical expertise within governing institutions so as to inform and guide effective governance of AI.

翻译：鉴于人工智能能力的近期进展及其在社会中日益广泛的融合，世界各国政府正积极寻求通过监管及其他治理工具来减轻这些技术可能带来的危害与风险。然而，在治理愿景与实现这些愿景所需的技术工具现状之间，存在显著差距。本立场论文通过调研欧盟、美国和中国的公共部门机构发布的政策文件，揭示了拟议政策行动所需技术条件与当前技术前沿水平之间的具体脱节领域。我们的分析主张，应推动人工智能/机器学习研究界更深入地融入人工智能治理进程，以：i）促进旨在弥合当前监管行动技术基础与预期技术基础之间差距的技术研究；ii）提升治理机构内部的技术专业知识水平，从而为有效的人工智能治理提供信息与指导。