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Computational Law Framework Formalizes AI Governance Rules

A new paper proposes using Wolfram Language to implement "Computational Law" for governing AI systems, even those with opaque reasoning. The approach formalizes legal obligations, permissions, and prohibitions into executable code. Testing with GPT-4 revealed challenges in translating English legal statements into this formalism, including hallucinated functions and incorrect norm encoding. A case study of an AI guard dog demonstrated how formalized rules can be integrated into an agent's operational code to provide auditable justifications for its behavior. AI

IMPACT This research could lead to more auditable and enforceable AI behavior by translating legal principles into executable code.

RANK_REASON Research paper detailing a new methodology for AI governance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Computational Law Framework Formalizes AI Governance Rules

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Research paper detailing a new methodology for AI governance. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · James K. Wiles ·

    Implementing Computational Law in Wolfram Language for the Governance of Artificial Intelligence

    arXiv:2608.13958v1 Announce Type: new Abstract: How do we govern AI systems whose reasoning we cannot fully inspect? Governance does not require understanding a system's reasoning. It requires stating what the system is obliged, permitted, and forbidden to do, and checking whethe…