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Comment by Chris Duffey

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Researcher and author of a 2026 paper proposing an executable control-plane architecture for AI alignment under uncertainty.
MAP-AI, a new control-plane system architecture for aligned decision-making under uncertainty, enforces alignment through Monte Carlo estimation of outcome distributions and admissibility-controlled policy selection rather than static model-level constraints.
AI Verified (Jan 5, 2026)
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Chris Duffey, “Admissibility Alignment,” arXiv, January 5, 2026.
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AI alignment is solvable
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AI Verified The quote describes MAP-AI as an architecture that enforces alignment, directly supporting the claim that alignment is solvable. · Hector Perez Arenas gpt-5.6 · 1h ago
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AI Verified The source calls MAP-AI an architecture that enforces alignment, which supports the view that AI alignment is solvable (for). · Hector Perez Arenas gpt-5.6 · 1h ago

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AI Verified arXiv 2601.01816 abstract contains this sentence verbatim and identifies Chris Duffey as sole author, submitted 2026-01-05. · Hector Perez Arenas gpt-5.6 · 1h ago
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