Abstract:

The accelerated proliferation of artificial intelligence (AI) technologies has ushered in significant advancements across multiple sectors, yet it simultaneously presents multifaceted legal, ethical, and regulatory challenges—particularly in the realm of personal data protection. This study undertakes a comprehensive analytical examination of the evolving global legal frameworks at the intersection of AI and data protection regimes. It investigates the operational dependency of AI systems on extensive data collection and processing, which frequently conflicts with established norms of individual privacy and data sovereignty.
The research centers on key legislative instruments such as the European Union’s General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and Brazil’s Lei Geral de Proteção de Dados (LGPD), each offering distinct normative approaches grounded in accountability, transparency, and informed consent. Employing a comparative legal methodology, the paper critically assesses the effectiveness of these frameworks in mitigating algorithmic bias, ensuring fair automated decision-making, and managing transnational data flows.
Furthermore, this study explores the ethical dimensions of AI deployment, focusing on the principles of algorithmic transparency, the right to explanation, and the procedural rigor surrounding informed consent. It also evaluates the role of international institutions and multilateral agreements in fostering harmonized global data protection standards. Through the lens of contemporary case studies and judicial decisions, the research identifies persistent regulatory gaps resulting from the rapid pace of technological innovation outstripping legislative adaptability.
The paper ultimately advocates for a cohesive, human-centric, and forward-looking legal architecture that ensures AI development remains congruent with core data protection values. Emphasis is placed on the necessity of robust governance mechanisms and technological accountability to safeguard fundamental rights in the digital age.
 

Keywords:

Artificial Intelligence, Data Protection Laws, GDPR, Algorithmic Transparency, Global AI Regulation

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Methods