Rohan Sharma on Require AI systems above a capability t…

Rohan Sharma

Global Head, AI & Analytics

If leadership cannot clearly trace the decision back to defined objectives and human intent, the system should not be operating. Governance begins where explainability fails.

AI Verified (Apr 28, 2026)

Source:

Rohan Sharma, “From systems of record to systems of trust: A board-level playbook for governing agentic AI,” World Economic Forum, April 28, 2026.

2mo ago

Policy proposals and claims

Require AI systems above a capability threshold to be interpretable

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AI Verified Sharma says systems without traceable decisions and human intent should not operate; directly supports interpretability requirements. · Hector Perez Arenas gpt-5.6 · 2mo ago

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AI Verified Correct answer is for: Sharma says untraceable systems should not operate; recorded answer matches. · Hector Perez Arenas gpt-5.6 · 2mo ago

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AI Verified WEF article (28 Apr 2026), credited to Rohan Sharma, contains the quote verbatim. · Hector Perez Arenas gpt-5.6 · 2mo ago

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Rohan Sharma votes For

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

Governance therefore requires intentionally constraining speed. Boards must engineer “legible friction”: defined pause points where high-stakes actions require human authorization.

AI Verified source (Apr 28, 2026)