AI芯片出口的近期验证方法
Near-Term Verification Methods for AI Chip Exports
- Institute for AI Policy and Strategy（人工智能政策与战略研究所）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出三类近期可实施的AI芯片出口验证机制（位置、用户、用途），在BIS框架下依托私营部门与现有技术实现合规验证，助力美国出口管制及未来国际协议监测。
AI中文摘要：
AI芯片出口管制可以帮助美国塑造前沿AI的发展，但其有效性取决于可靠的合规验证方法。本文考察了近期（约一年内可实施）的验证机制，并将其分为三类：最终位置验证（受控芯片是否保持在授权地点和/或司法管辖区内）、最终用户验证（获取或访问计算能力的实体是否合法）以及最终用途验证（计算能力是否被用于被禁止的目的）。我们讨论了如何在BIS的监管框架内实施每种机制，概述了实施步骤，并确定了哪些行为者可以执行验证（BIS、出口商或经认可的外部审计机构）。鉴于BIS的资源限制，最可行的机制依赖于私营部门行为者与BIS合作，利用现有技术，并在不需要大幅增加政府人员的情况下进行扩展。这些机制也有助于监测未来关于AI的国际协议。
英文摘要：
AI chip export controls can help the United States shape the development of frontier AI, but their effectiveness depends on reliable methods for verifying compliance. This paper examines near-term verification mechanisms (implementable in approximately one year) and groups them into three categories: end-location verification (whether controlled chips remain in authorized locations and/or jurisdictions), end-user verification (whether entities that acquire or access compute are legitimate), and end-use verification (whether computing power is used for prohibited purposes). We discuss how each mechanism can be implemented within the regulatory framework of the U.S. Bureau of Industry and Security (BIS), outlining implementation steps and identifying which actors can perform verification (BIS, exporters, or accredited third-party auditors). Given BIS's resource constraints, the most viable mechanisms rely on private-sector actors working alongside BIS, leverage existing technologies, and scale without requiring large increases in government staffing. These mechanisms could also help monitor future international agreements on AI.
