Building trustworthy agentic AI software for regulated industries like nuclear power requires a different approach than for general applications. Instead of focusing solely on expanding the AI's capabilities, the emphasis must be on constraining its actions with deterministic logic that is auditable by regulators. Systems should be designed to admit when they don't know something, rather than providing a confident but incorrect answer. Furthermore, every action must be traceable to a documented reason, and autonomy should be granted incrementally as trust is earned through a history of correct and honest responses. AI
IMPACT Provides a framework for developing more reliable and auditable AI systems in safety-critical sectors.
RANK_REASON Opinion piece offering lessons from one industry for another.
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