Balancing Act: Navigating Artificial Intelligence, Data Privacy, and Legal Challenges in the Digital Age

  • Prajeet Sen
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  • Prajeet Sen

    Student at Amity Law School, Noida, India

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This research paper delves into the intricate nexus between the burgeoning advancements in Artificial Intelligence (AI), the protection of personal data, and the evolving legal frameworks designed to navigate these challenges, with a special focus on the General Data Protection Regulation (GDPR). As AI technologies increasingly permeate various facets of daily life, they raise profound concerns regarding privacy, transparency, and equity, necessitating robust legal responses to safeguard individual rights without hampering technological progress. Through a meticulous analysis, this study evaluates the efficacy of GDPR in the context of AI, juxtaposing it with other pivotal data protection laws such as the California Consumer Privacy Act (CCPA) and the Information Technology Act (IT Act) of India. This comparative approach reveals the complexities and discrepancies among international data privacy regulations and underscores the imperative for a harmonized global regulatory framework. The research paper further explores the ethical dimensions of AI deployment, highlighting the critical role of ethical considerations in shaping legal standards and ensuring AI’s alignment with societal values. It concludes with a forward-looking discussion on the challenges and future directions for AI regulation, advocating for continuous legal adaptation, enhanced global cooperation, and the integration of ethical principles in the development and deployment of AI technologies.


Research Paper


International Journal of Law Management and Humanities, Volume 7, Issue 2, Page 3062 - 3073


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This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (, which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.


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