mlsanityData to 14 Oct 2026

Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities

arXiv 2306.12609 ↗First posted 22 Jun 2023cs.AI cs.CYcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 88 of its 190 references that are in the map. First posted on arXiv 22 Jun 2023.

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88 of 190 references.

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Citing papers per year: 2024: 2.

2 papers.

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