Alignment as Jurisprudence
📰 ArXiv cs.AI
Learn how jurisprudence can inform AI alignment by predicting and shaping decisions of powerful actors, including judges and AI models, to conform to human values
Action Steps
- Read the abstract to understand the fundamental structure shared by jurisprudence and AI alignment
- Apply the concept of specification and interpretation from jurisprudence to AI alignment
- Analyze how judges' decision-making processes can inform the development of more transparent and explainable AI models
- Configure AI systems to incorporate human values and ethics, using insights from jurisprudence
- Test and evaluate AI models for alignment with human values, using metrics and methods inspired by jurisprudence
Who Needs to Know This
AI researchers and developers, as well as legal scholars, can benefit from understanding the connections between jurisprudence and AI alignment to improve the development of value-aligned AI systems
Key Insight
💡 Jurisprudence and AI alignment share a common goal of predicting and shaping decisions to conform to human values
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🚀 Alignment as Jurisprudence: How the study of judges' decision-making can inform AI alignment 🤖👨⚖️
Key Takeaways
Learn how jurisprudence can inform AI alignment by predicting and shaping decisions of powerful actors, including judges and AI models, to conform to human values
Full Article
Title: Alignment as Jurisprudence
Abstract:
arXiv:2605.08416v1 Announce Type: new Abstract: Jurisprudence, the study of how judges should properly decide cases, and alignment, the science of getting AI models to conform to human values, share a fundamental structure. These seemingly distant fields both seek to predict and shape how decisions by powerful actors, in one case judges and in the other increasingly powerful artificial intelligences, will be made in the unknown future. And they use similar tools of the specification and interpre
Abstract:
arXiv:2605.08416v1 Announce Type: new Abstract: Jurisprudence, the study of how judges should properly decide cases, and alignment, the science of getting AI models to conform to human values, share a fundamental structure. These seemingly distant fields both seek to predict and shape how decisions by powerful actors, in one case judges and in the other increasingly powerful artificial intelligences, will be made in the unknown future. And they use similar tools of the specification and interpre
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