Daniel Nieto on Require AI systems above a capability t…

Daniel Nieto

Senior Director Analyst at Gartner, specializing in government digital transformation and AI governance.

Regulated industries and governments cannot rely on opaque ‘black box’ systems for consequential decisions. DI elevates explainability from a technical requirement to a governance imperative.

AI Verified (Mar 17, 2026)

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Daniel Nieto, Gartner press release, March 17, 2026.

2mo ago

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Require AI systems above a capability threshold to be interpretable

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AI Verified Nieto says consequential decisions cannot rely on opaque black boxes and makes explainability a governance imperative. · Hector Perez Arenas gpt-5 · 2mo ago

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AI Verified Nieto's explainability requirement for consequential decisions supports for. · Hector Perez Arenas gpt-5 · 2mo ago

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AI Verified Gartner release, Mar. 17 2026, attributes the exact wording to Daniel Nieto. · Hector Perez Arenas gpt-5 · 2mo ago

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Require human-in-the-loop oversight for agentic AI systems acting in high-stakes domains

Because of the need for transparency in decision-making, Gartner predicts that by 2029, 70% of government agencies will require explainable AI (XAI) and human-in-the-loop (HITL) mechanisms for all automated decisions that impact citizen service deliv...

more AI Verified source (Mar 17, 2026)