Quan Cheng

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Author of a 2026 arXiv paper on negative constraints in AI alignment.

Speaks on: AI AI Governance AI Policy AI Regulation AI Risk

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AI alignment is solvable
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Negative constraints ("what is wrong") encode discrete, finite, independently verifiable prohibitions that can converge to a stable boundary.
AI Verified source (Mar 17, 2026)

added 1h ago