《欧盟新AI法案分析及机器学习公平性标准化框架提案》
An Analysis of the New EU AI Act and A Proposed Standardization Framework for Machine Learning Fairness
AI总结：
针对欧盟新AI法案存在公平性量化指标缺失、术语歧义等问题，研究提出针对性监管优化方案及AI公平性透明度公共评估框架，主张标准化行业最佳实践，平衡监管与创新投资，并以ASR和语音合成器为例验证。
摘要：
欧盟《AI法案》是朝着监管合乎伦理、负责任的AI系统迈出的关键一步。但我们发现，欧盟新AI法案中缺乏可量化的公平性指标，术语存在歧义——尤其是关键词透明度（transparency）、可解释性（explainability）和可解读性（interpretability）被互换使用，且未提及伦理合规的透明度。我们认为这种歧义会带来巨大的责任风险，进而阻碍投资。公平性透明度具有战略重要性。我们建议推出更具针对性的监管框架，以完善欧盟新AI监管体系。此外，我们提出了一个评估AI系统公平性与透明度的公共体系框架。借鉴过往研究，我们主张将行业最佳实践标准化，作为宽泛监管的必要补充，以满足行业所需的细节程度，同时避免抑制AI领域的创新与投资。我们以自动语音识别（ASR）和语音合成器为例对提案进行了说明。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
