We propose that future AI transparency and accountability regulations are based on an open global standard for exchanging information about AI systems, which allows co-existence of potentially conflicting local regulations. Then, we discuss key components of a lightweight and effective AI transparency and/or accountability regulation. To prevent overregulation, the proposed approach encourages collaboration between regulators and industry to create a scalable and cost-efficient mutually beneficial solution. This includes using automated assessments and benchmarks with results transparently communicated through AI cards in an open AI register to facilitate meaningful public comparisons of competing AI systems. Such AI cards should report standardized measures tailored to the specific high-risk applications of AI systems and could be used for conformity assessments under AI transparency and accountability policies such as the European Union's AI Act.

翻译：我们提出，未来的人工智能透明与问责监管应基于一个开放的全球标准，用于交换人工智能系统信息，该标准允许可能存在冲突的地方法规共存。接着，我们讨论了一种轻量级且有效的人工智能透明和/或问责监管的关键组成部分。为防止过度监管，所提出的方法鼓励监管机构与行业合作，以创建一个可扩展、成本效益高且互利的解决方案。这包括利用自动化评估和基准测试，其结果通过开放人工智能登记库中的“人工智能卡片”透明地传达，以便对竞争性人工智能系统进行有意义的公开比较。此类人工智能卡片应报告针对人工智能系统特定高风险应用定制的标准化度量，并可用于根据诸如欧盟《人工智能法案》等人工智能透明与问责政策进行符合性评估。