Analysis finds international AI governance linked to national narratives

A new report published in the MIT Science Policy Review indicates that divergent artificial intelligence (AI) regulatory frameworks across the US, EU, and China are impeding global cooperation on AI safety and governance.

The research finds that cross-border collaboration is hampered not only by economic competition or technical disputes, but primarily by contrasting national narratives. These narratives represent historical collective identities that determine how each power conceptualises the role of government in technological oversight and weighs the benefits against the harms of AI. As a consequence, these entrenched perspectives create significant friction and inefficiencies in existing multilateral initiatives.

However, examining policies through this narrative lens also reveals hidden areas of alignment between the major powers. The analysis concludes that establishing effective international governance and safety standards requires tailoring diplomatic strategies to accommodate these distinct national frameworks, enabling more constructive cross-border coordination.

Training Announcement: The BCS Foundation Certificate in AI examines the challenges and risks associated with AI projects, such as those related to privacy, transparency and potential biases in algorithms that could lead to unintended consequences. Explore the role of data, effective risk management strategies, compliance requirements, and ongoing governance of the AI lifecycle and become a certified AI Governance professional. Find out more.