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关于在数据空间中使用个人数据存储的观点,以支持数据法案所要求的多方数据访问
Tanguy Coenen1, Michiel Fierens2, Beatriz Esteves3
1imec, AI and algorithms department, Leuven, Belgium.
Data in brief
|September 24, 2025
概括
欧盟的数据法规定了连接产品的多方数据访问权限,要求强大的数据可访问性,透明度和用户权利. 整合身份和同意管理等技术的概念模型可以在数据空间内实现生成性AI应用.
科学领域:
- 数据科学数据科学数据科学
- 人工智能的人工智能
- 欧盟政策 欧盟政策
背景情况:
- 欧盟的数据战略强调了联网产品中的多方数据访问.
- 欧盟数据法案引入了数据共享和用户权利的新要求.
研究的目的:
- 探索欧盟数据法对多方数据访问的要求.
- 通过使用技术解决方案,提出一个概念模型来解决这些要求.
- 为了说明数据空间和生成人工智能对欧盟经济的潜力.
主要方法:
- 将要求分类为六个维度:可访问性,透明度,用户权利,公平共享,互操作性和合法利益.
- 开发一个概念模型,整合身份管理,同意管理和保密计算等技术.
- 对个人数据存储和生成AI的"代理家庭"用例分析.
主要成果:
- 一个框架,通过技术整合来满足数据法案的要求.
- 演示如何在边缘环境中存储个人数据可以为生成AI提供动力.
- 确定生成人工智能作为欧盟数据空间的关键应用.
结论:
- 拟议的模型支持欧盟数据法对多方数据访问的目标.
- 生成性人工智能可以成为数据空间的"杀手应用",促进创新和道德数据实践.
- 欧盟可以通过数据空间利用提高人工智能竞争力,同时遵守伦理标准.
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