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cloud.google.com·6h ago
AI Research
arXiv CS.AI·Aug 17·5 min read
Implementing Computational Law in Wolfram Language for the Governance of Artificial Intelligence
TL;DR
A framework for governing AI systems using Computational Law was implemented in Wolfram Language, enabling formalized rules to be directly integrated into AI behavior. Testing revealed challenges in translating legal statements into this formalism, highlighting the need for precise execution in AI governance.
✦ Why It Matters
Consider integrating formalized rules into your AI systems to enhance governance and accountability.
Key Takeaways
- Explore using Reified Input/Output Logic for AI governance.
- Test AI models for translating legal language into formal rules.
- Implement formalized rules in operational AI code for accountability.
- Focus on creating executable laws for AI systems.
How It Works
The implementation utilizes Reified Input/Output Logic to define clear obligations and permissions for AI systems. By embedding these formalized rules directly into the operational code, the AI can justify its actions based on the established norms.
⚠ The Catch
Challenges arose when translating legal statements into the formalism, including hallucinated functions and incorrect interpretations of temporal aspects, which could lead to misalignment between intended and executed norms.