为能源领域可信AI构建可落地的评估框架
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework
- 基于欧盟法规与标准，定制能源场景专用的可信AI框架
- 提出E-TAI框架，支持电网与智能建筑系统AI开发与评估
- 适合电力系统研究者、开发者及运营商使用
本研究旨在评估欧盟（EU）能源领域内可信人工智能（TAI）现状的模糊格局。分析涵盖法律框架、指令、倡议与标准，如《可信AI伦理指南》（EGTAI）、《可信AI评估清单》（ALTAI）、《人工智能法案》以及CEN-CENELEC标准化工作，还包括欧盟资助项目如AI4EU和SHERPA。在此基础上，提出专为能源应用设计的新框架E-TAI，适用于智能电网与智能建筑系统。该框架以EGTAI为基础，针对能源领域进行定制，服务于电力与能源系统（EPES）相关利益方，包括研究人员、开发者及能源专家，涉及输电系统运营商、配电系统运营商、公用事业公司和聚合商。使用者可借助E-TAI在开发与迭代评估过程中确保AI服务的可信性。
原文摘要 · Abstract (English)
The present study aims to evaluate the current fuzzy landscape of Trustworthy AI (TAI) within the European Union (EU), with a specific focus on the energy sector. The analysis encompasses legal frameworks, directives, initiatives, and standards like the AI Ethics Guidelines for Trustworthy AI (EGTAI), the Assessment List for Trustworthy AI (ALTAI), the AI act, and relevant CEN-CENELEC standardization efforts, as well as EU-funded projects such as AI4EU and SHERPA. Subsequently, we introduce a new TAI application framework, called E-TAI, tailored for energy applications, including smart grid and smart building systems. This framework draws inspiration from EGTAI but is customized for AI systems in the energy domain. It is designed for stakeholders in electrical power and energy systems (EPES), including researchers, developers, and energy experts linked to transmission system operators, distribution system operators, utilities, and aggregators. These stakeholders can utilize E-TAI to develop and evaluate AI services for the energy sector with a focus on ensuring trustworthiness throughout their development and iterative assessment processes.
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