AI Governance Has a Theory Problem

AI governance has become the primary constraint on enterprise AI adoption, shifting the focus from the capabilities of AI models to the implementation of effective governance frameworks. Credal, a startup involved in developing governed AI systems, argues that practical governance solutions must be grounded in operational experience rather than abstract theories. This perspective was highlighted during the United Nations' Global Dialogue on Artificial Intelligence Governance, where the Independent International Scientific Panel on AI found that governance is the main bottleneck for AI deployment. Credal's CEO, Ravin Thambapillai, emphasized that governance and adoption should be seen as mutually reinforcing, with strong governance enabling broader adoption and vice versa. He proposed two key priorities: developing open reference implementations for agentic AI systems and encouraging governments to use AI internally to gain firsthand experience. The global dialogue marked a shift toward practical implementation of AI governance, a transition Credal is actively contributing to and will continue to support at future global discussions.

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