The Aiming for AI Interoperability report investigates the ongoing challenge of achieving regulatory and technical AI interoperability as national and global AI governance efforts are proliferating. Here, technical interoperability is the ability of AI systems and networks to function together, and regulatory interoperability is the consistency and overlap of rules across jurisdictions and sectors. This report observes an accelerating trend that many governments, standard-setting bodies, and private firms are drafting, implementing, or passing new AI laws, policies, and frameworks at a staggering pace, resulting in fragmentation and confusion for both private and public sector actors.

翻译：《追求人工智能互操作性》报告探讨了在国家和全球人工智能治理努力不断涌现的背景下，实现监管与技术层面人工智能互操作性所面临的持续挑战。其中，技术互操作性指人工智能系统与网络协同运作的能力，而监管互操作性则指跨司法管辖区与行业领域规则的一致性与重叠程度。本报告观察到一种加速趋势：众多政府、标准制定机构及私营企业正以前所未有的速度起草、实施或通过新的人工智能法律、政策与框架，导致公共与私营部门的参与者均面临规则碎片化与困惑局面。