为欧盟AI法案缺失公平性量化指标提出透明度评估框架
An Analysis of the New EU AI Act and A Proposed Standardization Framework for Machine Learning Fairness
- 构建公开的AI公平性与透明度评估体系
- 指出法案中术语模糊导致法律责任风险
- 适用于监管机构与需要合规的AI企业
欧盟《AI法案》是推动负责任AI发展的关键一步，但其缺乏可量化的公平性指标，且在术语使用上存在混淆，特别是将透明性、可解释性与可解释性混用，未明确提及伦理合规的透明性。这种模糊性可能带来重大法律风险，抑制投资。我们主张建立更精细化的监管框架，并提出一个公共系统框架以评估AI系统的公平性与透明度。基于已有研究，建议将行业最佳实践标准化，作为广泛法规的补充，以满足产业实际需求，同时避免抑制创新与投资。案例分析涵盖语音识别（ASR）与语音合成器。
原文摘要 · Abstract (English)
The European Union's AI Act represents a crucial step towards regulating ethical and responsible AI systems. However, we find an absence of quantifiable fairness metrics and the ambiguity in terminology, particularly the interchangeable use of the keywords transparency, explainability, and interpretability in the new EU AI Act and no reference of transparency of ethical compliance. We argue that this ambiguity creates substantial liability risk that would deter investment. Fairness transparency is strategically important. We recommend a more tailored regulatory framework to enhance the new EU AI regulation. Further-more, we propose a public system framework to assess the fairness and transparency of AI systems. Drawing from past work, we advocate for the standardization of industry best practices as a necessary addition to broad regulations to achieve the level of details required in industry, while preventing stifling innovation and investment in the AI sector. The proposals are exemplified with the case of ASR and speech synthesizers.
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