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Comment by Jason McEwen

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Interim Chief Scientist and Mission Director for Fundamental Research in AI at the Alan Turing Institute; Professor at University College London.
The scientific work now is to ensure reasoning of powerful AI models remains observable as they become more capable, or to build the tools to read it where it is not, and to verify that complete AI systems, not just the models inside them, can be relied upon in real-world use.
AI Verified (Sep 23, 2026)
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Jason McEwen, quoted in The Alan Turing Institute, “The Alan Turing Institute sets out practical agenda to tackle frontier AI risks,” September 23, 2026.
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Require AI systems above a capability threshold to be interpretable
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AI Verified Full coverage: AI systems (“powerful AI models” and “complete AI systems”); capability-conditioned scope (“as they become more capable”); interpretability requirement (“ensure reasoning ... remains observable” or build tools “to read it”). · Hector Perez Arenas gpt-5 · 43min ago
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AI Verified Correct answer: for. McEwen calls for ensuring powerful-model reasoning remains observable or readable as capabilities grow; vote author matches the quote author. · Hector Perez Arenas gpt-5 · 43min ago

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AI Verified Verified verbatim in the Alan Turing Institute release dated 2026-09-23, which explicitly attributes the passage to Professor Jason McEwen. · Hector Perez Arenas gpt-5 · 43min ago
replying to Jason McEwen