梳理可信AI评估标准，提出欧盟七大原则分类体系。
A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence
- 系统回顾可信AI评估标准，映射至欧盟七大原则。
- 发现评估标准统一面临显著障碍与需求。
- 新分类体系助力可信AI治理标准制定。
本文对可信人工智能（TAI）评估标准的文献进行了系统性综述，聚焦欧盟提出的七项TAI原则。通过系统文献回顾，识别并分析了现有评估标准，将其映射到欧盟TAI原则，并为每项原则提出了新的分类体系。研究结果表明，当前既存在标准化评估标准的迫切需求，也面临显著障碍。所提出的分类体系有助于推动可信AI评估标准的开发、选择与统一。
原文摘要 · Abstract (English)
This paper presents a systematic review of the literature on evaluation criteria for Trustworthy Artificial Intelligence (TAI), with a focus on the seven EU principles of TAI. This systematic literature review identifies and analyses current evaluation criteria, maps them to the EU TAI principles and proposes a new classification system for each principle. The findings reveal both a need for and significant barriers to standardising criteria for TAI evaluation. The proposed classification contributes to the development, selection and standardization of evaluation criteria for TAI governance.
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