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AI's Turning Point: Why Control Is Now The Competitive Edge

تكنولوجيا
Forbes
2026/05/27 - 13:45 501 مشاهدة
InnovationAI's Turning Point: Why Control Is Now The Competitive EdgeByBoris Kontsevoi,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 27, 2026, 09:45am EDTBoris Kontsevoi is a technology executive, President and CEO of Intetics Inc., a global software engineering and data processing company. gettyEarlier this year, a product team at a midsized SaaS company shared an unexpected issue. They had integrated AI into their customer support workflow to speed up responses. It worked well at first: Tickets were resolved faster, and customer satisfaction improved. But after a few weeks, edge cases started to appear: responses that were technically correct but contextually wrong, subtle inconsistencies in tone and decisions that no one on the team could fully trace back to a clear rule or logic.Nothing was “broken” in the traditional sense. The system was working. But it was working in a way that the team could no longer fully explain or control.That moment captures why the conversation around AI is shifting so quickly from excitement to control.Why Existing Frameworks Were Not Enough​Traditional software behaves deterministically. Given the same input, it produces the same output. But AI systems don’t. They adapt, evolve and sometimes behave differently at the edges of their training data. They can degrade over time as the world changes. They can amplify patterns that were never explicitly designed. And most importantly, they often operate without a clear line of accountability for individual decisions. This gap is a structural one.​What The EU AI Act ChangesThis is where the EU AI Act enters the picture. It is one of the first large-scale attempts to treat AI as a living system that requires continuous oversight. The logic is surprisingly simple: Not all AI carries the same risk. For example, a recommendation engine sug...
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