ABSTRACT
One of the most critical and difficult issues in modern European digital law is the relationship between Artificial Intelligence and the General Data Protection Regulation. The conflict between data protection standards and AI’s operational needs has moved from theoretical debate to urgent regulatory concern as machine learning systems become more advanced and widely adopted. This study contends that although the GDPR imposes rigorous compliance obligations that may decelerate specific developmental phases, it does not constitute a fundamental barrier to AI innovation. Through a doctrinal legal analysis of core principles and key provisions of the regulation, such as purpose limitation, data minimization, transparency, automated decisionmaking, and privacy by design, this paper argues that while the GDPR presents real compliance challenges that may slow some AI development processes, it does not fundamentally halt AI progress. Instead, by fostering innovation within clear ethical and legal boundaries and establishing a normative framework for a uniquely European, human-centric model of AI, the GDPR actively guides the direction of AI within the European Union. The relationship between the GDPR and AI is therefore not simply one of obstruction but a complex, dynamic, and influential form of governance.
Abrokwa, Emmanuel Kwasi, Does the GDPR Impede AI Progress? A Critical Analysis (May 29, 2026).
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