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减轻人工智能灾难性危害的法律和政策方法

Technology
United States
开始于 March 27, 2026

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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CLAIM 发布者 will Mar 27, 2026
仅仅依靠激励措施和自愿标准可能会造成虚假的安全感,同时忽视了对全面监督的迫切需求。
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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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CLAIM 发布者 will Mar 27, 2026
实施风险披露激励措施将使利益相关者能够做出知情决策,最终降低灾难性人工智能风险。
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Implementing risk disclosure incentives will empower stakeholders to make informed decisions, ultimately reducing catastrophic AI risks.

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CLAIM 发布者 will Mar 27, 2026
人工智能可能造成的灾难性危害为立即采取强有力的政策干预提供了正当理由,而不是等待自愿合规。
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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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CLAIM 发布者 will Mar 27, 2026
自愿的安全标准可能不足以防止人工智能造成的灾难性危害;强制性监管对于有效的风险管理至关重要。
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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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CLAIM 发布者 will Mar 27, 2026
国家和产业合作可以推进人工智能安全,但我们必须在创新与必要的保障措施之间取得平衡,以保护社会。
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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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