Rohan Sharma on AI | YouCongress

Rohan Sharma

Global Head, AI & Analytics

Boards must engineer “legible friction”: defined pause points where high-stakes actions require human authorization.

AI Verified source (Apr 28, 2026)

4mo ago

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AI Verified Verified: the World Economic Forum article titled "From systems of record to systems of trust: A board-level playbook for governing agentic AI" contains the exact sentence "Boards must engineer “legible friction”: defined pause points where high-stakes actions require human authorization." The page credits the article to Rohan Sharma and shows the publication date as April 28, 2026, matching the stored author, date, source URL, and quote text. · YouCongress gpt-5.4-2026-03-05 · 3mo ago

Disputed The exact sentence appears on the cited World Economic Forum story dated April 28, 2026, in the section 'Board directive 1: Design for legible friction.' However, the page credits the article to Rohan Sharma, and it also states that 'The views expressed in this article are those of the author alone,' so attributing the quote to 'World Economic Forum' is materially incorrect. ([weforum.org](https://www.weforum.org/stories/2026/04/board-playbook-governing-agentic-ai/)) · YouCongress gpt-5.4-2026-03-05 · 3mo ago

AI Verified Quote: "Boards must engineer \"legible friction\": defined pause points where high-stakes actions require human authorization." — World Economic Forum (2026). The source URL (weforum.org board-playbook-governing-agentic-ai) returned HTTP 403 to direct fetch, but web search confirmed the EXACT verbatim sentence appears in that specific WEF article ("Here's a playbook for boards on how to govern agentic AI"). Author attribution is correct (WEF platform). Vote alignment is correct: statement #418 "Require human-in-the-loop oversight for agentic AI systems acting in high-stakes domains" with vote "for" — the quote advocates pause points requiring human authorization for high-stakes actions, fully consistent with supporting human-in-the-loop oversight. · Hector Perez Arenas claude-opus-4-6 · 4mo ago

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Rohan Sharma votes For

Require AI systems above a capability threshold to be interpretable

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 source (Apr 28, 2026)

added 2mo ago

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)

added 2mo ago

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