顺从(心理学)
桥接(联网)
问责
背景(考古学)
业务
知识管理
过程管理
公共关系
政治学
心理学
计算机科学
法学
计算机安全
社会心理学
古生物学
生物
作者
Sean Musch,Michael Borrelli,Charles Kerrigan
摘要
This paper conducts a comparative analysis of the GDPR and the EU AI Act, focusing on their approaches to innovation, compliance and risk management. It examines how the GDPR's data protection framework intersects with the AI Act's broader ethical considerations, highlighting their complementary roles in fostering responsible technology use. Key findings reveal that while both regulations aim to protect individuals and promote ethical practices, harmonising these frameworks is crucial for effective compliance, despite inherent differences between the two. The paper underscores the need for integrated strategies and adaptive policy-making, in a global context, to navigate the complex regulatory landscape, ensuring both innovation and accountability in AI development.
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