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Enfoques Legales y de Política Pública para Mitigar Daños Catastróficos de la Inteligencia Artificial
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A Delphi study with 24 experts found few viable policies to curb catastrophic artificial intelligence risks. Experts favored risk disclosure incentives and voluntary safety standards, with near-term progress likely from state and industry action
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RAND Corporation (United States) | Mar 25, 2026
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Focusing solely on incentives and voluntary standards may create a false sense of security while ignoring the urgent need for comprehensive oversight.
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Implementing risk disclosure incentives will empower stakeholders to make informed decisions, ultimately reducing catastrophic AI risks.
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The potential for catastrophic harms from AI justifies immediate and robust policy interventions rather than waiting for voluntary compliance.
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Voluntary safety standards may not be sufficient to prevent catastrophic harms from AI; mandatory regulations are essential for effective risk management.
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State and industry collaboration could advance AI safety, but we must balance innovation with necessary safeguards to protect society.
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