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Comment by Ashley Suh

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Researcher in the AI Technology and Systems Group at MIT Lincoln Laboratory.
We’ve become increasingly concerned that AI systems that claim to be interpretable and trustworthy to humans — termed ‘explainable AI’ — are not actually validated with the humans they’re intended to be understood by.
AI Verified (Jan 6, 2026)
Source:
Study finds ‘explainable AI’ often isn’t tested on humans | MIT Lincoln Laboratory | January 6, 2026
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Policy proposals and claims

Require AI systems above a capability threshold to be interpretable
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AI Verified Ashley Suh warns that systems claiming interpretability are not validated with intended users; this supports requiring interpretability for sufficiently capable AI systems. · Hector Perez Arenas gpt-5.6 · 1h ago
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AI Verified Suh’s concern that claimed interpretability is not human-validated supports requiring interpretability for the covered AI systems. · Hector Perez Arenas gpt-5.6 · 1h ago

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AI Verified MIT Lincoln Laboratory, Jan. 6, 2026, directly attributes the exact wording to Ashley Suh. · Hector Perez Arenas gpt-5.6 · 1h ago
replying to Ashley Suh