AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at least partly technical. Technical AI governance, referring to technical analysis and tools for supporting the effective governance of AI, seeks to address such challenges. It can help to (a) identify areas where intervention is needed, (b) identify and assess the efficacy of potential governance actions, and (c) enhance governance options by designing mechanisms for enforcement, incentivization, or compliance. In this paper, we explain what technical AI governance is, why it is important, and present a taxonomy and incomplete catalog of its open problems. This paper is intended as a resource for technical researchers or research funders looking to contribute to AI governance.

翻译：人工智能的进步正在产生日益广泛的风险与机遇，但应如何应对这些风险与机遇往往并不明确。在许多情况下，所面临的障碍与不确定性至少部分源于技术层面。技术人工智能治理——指为支持有效的人工智能治理而进行的技术分析及开发的技术工具——旨在应对此类挑战。它有助于：(a) 识别需要干预的领域，(b) 识别并评估潜在治理行动的有效性，(c) 通过设计执行、激励或合规机制来增强治理选项。在本文中，我们阐释了技术人工智能治理的内涵及其重要性，并提出了一个分类框架及一份尚不完整的开放性问题清单。本文旨在为寻求为人工智能治理做出贡献的技术研究人员或研究资助者提供参考资源。