Daniel Nieto on Require human-in-the-loop oversight for…

Daniel Nieto

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

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 delivery.

AI Verified (Mar 17, 2026)

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

2mo ago

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

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Daniel Nieto votes For

Require AI systems above a capability threshold to be interpretable

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 source (Mar 17, 2026)