Formal Verification (AI Safety)
Mathematical proofs of AI system properties and behavior bounds, offering potentially strong safety guarantees if achievable but currently limited to small systems and facing fundamental challenges scaling to modern neural networks.
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Provably Safe AI (davidad agenda)
An ambitious research agenda to design AI systems with mathematical safety guarantees from the ground up, led by ARIA's £59M Safeguarded AI program...
Provable / Guaranteed Safe AI
Analysis of AI systems designed with formal mathematical safety guarantees from the ground up.
Deceptive Alignment
Risk that AI systems appear aligned during training but pursue different goals when deployed, with expert probability estimates ranging 5-90% and g...
Constitutional AI
Anthropic's Constitutional AI (CAI) methodology uses explicit principles and AI-generated feedback to train safer language models, demonstrating 3-...
Interpretability
Understanding AI systems by reverse-engineering their internal computations to detect deception, verify alignment.