Source: AI Law Blawg

AI Law Blawg features an insightful analysis by legal scholar Raso regarding the urgent need for "interoperable AI regulation" as national governments rush to enact their own idiosyncratic laws. As of late 2025, the proliferation of distinct frameworks—such as the EU AI Act, China's chatbot rules, and various US state laws—has created a complex compliance environment for multinational technology companies. Raso argues that without a baseline level of interoperability, the high costs of legal fragmentation could lead to a "splinternet" of AI services, where certain advanced models are unavailable in specific regions due to conflicting safety or data residency requirements. The analysis suggests that international bodies must lead the effort to define shared technical standards for transparency and risk assessment.

The post explores several practical mechanisms for achieving interoperability, including the mutual recognition of safety audits and the adoption of common data-sharing protocols. Raso emphasizes that interoperability should not mean a "race to the bottom" in terms of safety, but rather a functional alignment that allows for the seamless movement of AI services while respecting local legal nuances. The analysis concludes that the success of the global AI economy depends on the ability of regulators to move beyond "regulatory nationalism" and collaborate on a cohesive framework that ensures both technological progress and the protection of fundamental human rights across all jurisdictions. This approach would provide the predictable legal environment necessary for long-term investment in frontier AI technologies.