Formal Verification
Mathematically proving that AI algorithms comply with specified correctness properties, often used in safety-critical systems.
Definition
Applies formal methods (model checking, theorem proving) to verify properties like invariants, absence of runtime errors, or safety constraints. Formal verification is resource-intensive and best suited for critical components (e.g., control systems in automotive, avionics). Governance requires defining formal specifications, selecting suitable proof tools, and maintaining proofs alongside code updates.
Real-World Example
An aerospace firm uses formal verification on its autonomous-drone collision-avoidance module. They specify safety invariants (“distance to obstacles must never fall below 2 meters”) and use a model checker to prove the flight-control software respects these invariants under all modeled flight conditions—ensuring certification readiness.
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