16家大厂仅3成兑现白宫AI承诺，模型权重安全最差
Do AI Companies Make Good on Voluntary Commitments to the White House?
- 基于8项自愿承诺构建评分体系，评估企业公开行为表现
- 平均得分53%，最高仅OpenAI达83%，模型权重安全平均17%
- 11家公司权重安全为0分，呼吁增强可验证透明度
自愿承诺是国际AI治理的核心机制，如白宫对G7、布莱切利公园到首尔的倡议。我们依据2023年企业对白宫的八项自愿承诺，开发详细评分体系，评估其公开行为。结果显示显著差异：最高分企业（OpenAI）得83%，平均分仅为53%。企业在模型权重安全方面表现极差，平均分仅17%——16家公司中有11家得分为0。分析揭示未来治理需改进结构性缺陷：企业承诺应主动披露落实方式，并确保可验证性。为此提出三项建议：明确模糊承诺、应对复杂供应链、提升公众透明度，以推动全球AI治理政策发展。
原文摘要 · Abstract (English)
Voluntary commitments are central to international AI governance, as demonstrated by recent voluntary guidelines from the White House to the G7, from Bletchley Park to Seoul. How do major AI companies make good on their commitments? We score companies based on their publicly disclosed behavior by developing a detailed rubric based on their eight voluntary commitments to the White House in 2023. We find significant heterogeneity: while the highest-scoring company (OpenAI) scores a 83% overall on our rubric, the average score across all companies is just 53%. The companies demonstrate systemically poor performance for their commitment to model weight security with an average score of 17%: 11 of the 16 companies receive 0% for this commitment. Our analysis highlights a clear structural shortcoming that future AI governance initiatives should correct: when companies make public commitments, they should proactively disclose how they meet their commitments to provide accountability, and these disclosures should be verifiable. To advance policymaking on corporate AI governance, we provide three directed recommendations that address underspecified commitments, the role of complex AI supply chains, and public transparency that could be applied towards AI governance initiatives worldwide.
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