Formalizing Boundaries for AI Safety
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About
Formalizing Boundaries for AI Safety is a research initiative focused on identifying, discussing, and strategizing AI safety research directions related to agent boundaries. The project explores formalizing agent boundaries using methods like Markov blankets, aiming to protect agents and infrastructure from AI threats. It investigates boundaries as a fundamental aspect of safety and autonomy, rather than merely a feature of preferences, and examines boundaries-based security using cryptography and formal methods.
Platform
Features
• ai safety research
• formal methods
• active inference
• markov blankets
• principle of least privilege
• object-capability model
• cryptography
• agent boundaries
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