Why Human-In-The-Loop Is The Operating Model For Enterprise AI
•InnovationWhy Human-In-The-Loop Is The Operating Model For Enterprise AIByNitin Rakesh,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated...
•Opinions expressed are those of the author.
•| Membership (fee-based)May 26, 2026, 09:00am EDTNitin Rakesh is the CEO and Managing Director of Mphasis and coauthor of the award-winning book "Transformation in Times of Crisis." gettyThe rise of A...
هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.
InnovationWhy Human-In-The-Loop Is The Operating Model For Enterprise AIByNitin Rakesh,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 26, 2026, 09:00am EDTNitin Rakesh is the CEO and Managing Director of Mphasis and coauthor of the award-winning book "Transformation in Times of Crisis." gettyThe rise of AI has triggered two extreme reactions in boardrooms. One wants to plug it in to automate everything and shrink headcount. The other sees it as a threat: Take adoption slow, protect the workforce, wait for regulation to catch up.Both positions misunderstand what enterprise AI demands. Enterprises cannot simply “plug in” AI and then let go of employees. Nor can they treat it as an experimental option. AI is neither a shortcut nor a side project, but a systems change. Systems need judgment. Most organizations have a basic understanding that humans should remain “in the loop,” but the key is in how deliberately that loop is designed. It also means viewing human intelligence as more than a compliance obligation and understanding that it is necessary to realize AI’s benefits.Over the past 50 years, enterprises have automated record-keeping, scaled through the internet and digitized through mobile and cloud technologies. Each wave added capability. Today’s AI wave is following the same trajectory, accomplishing many enterprise functions at great speed. Yet speed without context breaks systems faster than it builds them.When a global payments platform goes down, speed means nothing. When a customer-facing agent misinterprets policy, trust erodes instantly. When a healthcare workflow routes a case without understanding the regulatory context, automation becomes dangerous. In those moments, judgment is everything.How AI Calculates Without UnderstandingAI systems can generate code, draft documents, summarize policies...المصدر: Forbes | Source: Forbes
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This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

