arXiv 2510.000842025-09-30cs.AIcs.CYcs.DB

面向支持AI系统伦理与监管认证的框架

Towards a Framework for Supporting the Ethical and Regulatory Certification of AI Systems

St. Pölten University of Applied Sciences（施普伦特应用科学大学）；Digital for Planet - D4P（数字为行星 - D4P）；University of Luxembourg（卢森堡大学）；Netcompany-Intrasoft S.A.（Netcompany-Intrasoft公司）

Fabian Kovac, Sebastian Neumaier, Timea Pahi, Torsten Priebe, Rafael Rodrigues, Dimitrios Christodoulou, Maxime Cordy, Sylvain Kubler, Ali Kordia, Georgios Pits… 展开作者

Fabian Kovac, Sebastian Neumaier, Timea Pahi, Torsten Priebe, Rafael Rodrigues, Dimitrios Christodoulou, Maxime Cordy, Sylvain Kubler, Ali Kordia, Georgios Pitsiladis, John Soldatos, Petros Zervoudakis

备注：: Accepted for publication in the proceedings of the Workshop on AI Certification, Fairness and Regulations, co-located with the Austrian Symposium on AI and Vision (AIRoV 2025)

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AI总结：

针对AI普及带来的伦理与监管挑战，CERTAIN项目提出融合语义MLOps、本体驱动数据溯源、RegOps的综合认证框架，经多试点验证以推进欧洲负责任AI合规创新。

摘要：

人工智能已迅速成为一项核心技术，显著影响着欧洲的社会与经济格局。然而，AI的普及也带来了严峻的伦理、法律与监管挑战。CERTAIN（人工智能伦理与监管透明度认证）项目通过开发一套将监管合规、伦理标准与透明度融入AI系统的综合框架来应对这些问题。在这篇立场文件中，我们概述了构建该框架核心组件的方法步骤。具体而言，我们提出：（i）用于结构化AI生命周期管理的语义机器学习运维（MLOps），（ii）确保可追溯性与问责性的本体驱动数据溯源追踪，以及（iii）将合规要求落地的监管运维（RegOps）工作流。通过在多个不同试点中实施并验证其解决方案，CERTAIN旨在推进监管合规，推动符合欧洲标准的负责任AI创新。

英文摘要：

Artificial Intelligence has rapidly become a cornerstone technology, significantly influencing Europe's societal and economic landscapes. However, the proliferation of AI also raises critical ethical, legal, and regulatory challenges. The CERTAIN (Certification for Ethical and Regulatory Transparency in Artificial Intelligence) project addresses these issues by developing a comprehensive framework that integrates regulatory compliance, ethical standards, and transparency into AI systems. In this position paper, we outline the methodological steps for building the core components of this framework. Specifically, we present: (i) semantic Machine Learning Operations (MLOps) for structured AI lifecycle management, (ii) ontology-driven data lineage tracking to ensure traceability and accountability, and (iii) regulatory operations (RegOps) workflows to operationalize compliance requirements. By implementing and validating its solutions across diverse pilots, CERTAIN aims to advance regulatory compliance and to promote responsible AI innovation aligned with European standards.

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。