MIT creates method to force AI to comply with safety rules
THE SO WHAT
MIT’s work on “hard” safety constraints for AI in safety-critical settings is part of a broader shift from soft guardrails to formally enforced behavior. If you operate in regulated or high-stakes domains, start mapping where you need provable constraint satisfaction instead of relying on generic LLM safety layers.
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