Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
It addresses the challenge of ensuring AI systems meet regulatory standards, which is crucial for policymakers and developers, but is incremental as it builds on existing frameworks.
The paper investigates the technical feasibility of vetting AI systems for regulatory compliance, using public sector procurement checklists to assess current capabilities, potential innovations, and interdisciplinary needs.
There is increasing attention being given to how to regulate AI systems. As governing bodies grapple with what values to encapsulate into regulation, we consider the technical half of the question: To what extent can AI experts vet an AI system for adherence to regulatory requirements? We investigate this question through the lens of two public sector procurement checklists, identifying what we can do now, what should be possible with technical innovation, and what requirements need a more interdisciplinary approach.