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A Framework for Maintaining Control When Using AI

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A Framework for Maintaining Control When Using AI

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As AI accelerates content and code generation, the limiting factor shifts from production to human judgment and validation capacity. The article outlines a practical framework for using AI without losing control, emphasizing “trust but verify,” decision ownership, and aligning output volume with review capability. It highlights risks such as cognitive offloading, degraded thinking quality, and unverified decision-making. Technology leaders should establish operating principles that preserve human accountability, ensuring AI augments reasoning rather than replacing it in critical decisions.
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