We don’t lose trust because models hallucinate — we lose it because our rules are ambiguous, outdated, or impossible to decide exhaustively.

Three Challenges

1. Translation: Natural language → formal logic, with cross-checks to catch contradictions.
2. Truth: Real-world rules disagree and change; your “truth set” must be explicit and maintainable.
3. Decision: Some queries are intractable/undecidable — robust systems return Unknown rather than guess.

Takeaways

• Treat policy as code: versioned, testable, explainable
• Prefer consistency over completeness; Unknown > confident wrong
• Combine LLMs + solvers for verifiable answers

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