Artificial intelligence (AI) tools, while powerful, can produce misleadingly confident responses that mimic the certainty of overconfident individuals, such as taxi drivers offering unverified opinions. This raises concerns for agencies, particularly when AI outputs influence critical regulatory decisions. Under the U.S. Administrative Procedure Act, decisions must be rooted in sound evidence and thorough analysis, rather than mere conjecture. For example, AI responses about environmental standards, like the EPA’s ozone regulation, require validation and cannot be used as sole bases for policy changes. Agencies must demonstrate a comprehensive understanding of issues and alternatives, ensuring compliance with the arbitrary-and-capricious standard. Reliance solely on AI-generated insights can lead to detrimental outcomes, as illustrated by past attempts to cut healthcare costs using AI without appropriate contextual understanding. Agencies should integrate AI cautiously, ensuring any insights are substantiated with rigorous analysis, rather than unexamined confidence. In essence, AI should support, not dominate, informed decision-making.
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