Scholarlink

<p>The article examines the relationship between the European Union’s Artificial Intelligence Act (AI Act) and the General Data Protection Regulation (GDPR), focusing in particular on the role of regulatory sandboxes as instruments for fostering innovation while safeguarding fundamental rights. The data-intensive nature of contemporary AI systems creates inherent tensions with core GDPR principles, such as purpose limitation, data minimisation, and the protection of data subject rights. Against this background, the article addresses three key questions: how the sandbox provisions of the AI Act should be reconciled with the GDPR; whether these provisions operate as <i>lex specialis</i> or rather as a contextual clarification of existing rules; and whether regulatory sandboxes can achieve a meaningful balance between innovation and data protection. The analysis shows that, if properly designed, sandboxes can support trustworthy AI through a cooperative and proportionate regulatory approach.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Personal data protection in experimental AI governance

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年8月3日

查看全文
  • Aleš Završnik,
  • Saša Krajnc

摘要

The article examines the relationship between the European Union’s Artificial Intelligence Act (AI Act) and the General Data Protection Regulation (GDPR), focusing in particular on the role of regulatory sandboxes as instruments for fostering innovation while safeguarding fundamental rights. The data-intensive nature of contemporary AI systems creates inherent tensions with core GDPR principles, such as purpose limitation, data minimisation, and the protection of data subject rights. Against this background, the article addresses three key questions: how the sandbox provisions of the AI Act should be reconciled with the GDPR; whether these provisions operate as lex specialis or rather as a contextual clarification of existing rules; and whether regulatory sandboxes can achieve a meaningful balance between innovation and data protection. The analysis shows that, if properly designed, sandboxes can support trustworthy AI through a cooperative and proportionate regulatory approach.