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AI's shift from excitement to control driven by regulation and standards

By PulseAugur Editorial · [1 sources] ·

The conversation around AI is shifting from excitement to control, as companies grapple with the unpredictable nature of AI systems. Unlike traditional deterministic software, AI can adapt and evolve in ways that are difficult to explain or trace, leading to issues like contextually wrong responses or inconsistent decision-making. Regulations like the EU AI Act are emerging to address these risks with a tiered, risk-based approach, emphasizing continuous oversight rather than one-time approval. To meet these evolving demands, companies are looking beyond mere compliance towards operational discipline, with standards like ISO/IEC 42001 offering structured AI management systems for responsible development, deployment, and monitoring. AI

IMPACT Companies must adopt robust AI management systems and prepare for regulatory compliance to navigate the shift towards controlled AI deployment.

RANK_REASON Article discusses the evolving landscape of AI control and regulation, offering commentary on industry trends and standards.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI's shift from excitement to control driven by regulation and standards

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Article discusses the evolving landscape of AI control and regulation, offering commentary on industry trends and standards.
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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Boris Kontsevoi, Forbes Councils Member ·

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

    For many companies, regulation still feels like a future problem. In practice, it is already an operational one.

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