Abstract

This research paper provides a comprehensive overview of the evolving landscape of Generative AI, examining its rising utilization, associated privacy concerns, and regulatory frameworks. It begins by delineating the tiers of AI systems, from Narrow AI to the theoretical realms of General AI and Super AI, focusing on the practical applications of Generative AI in content creation across various sectors. Amidst this surge in AI adoption, the abstract highlights the escalating privacy and security concerns, particularly regarding the potential misuse of personal data and the proliferation of deepfake content, which pose significant risks to individuals and societal stability. It discusses notable instances of privacy violations and deepfake-related scams, emphasizing the urgent need for robust governance structures and security protocols. In this context, the abstract explores the regulatory frameworks governing Generative AI, including the GDPR in the European Union and the Digital Personal Data Protection Act in India, outlining their provisions aimed at safeguarding personal data and ensuring compliance. It underscores the importance of transparency, data minimization, and rigorous security assessments in mitigating privacy risks and fostering ethical development and deployment of Generative AI technologies. Overall, the abstract calls for collaborative efforts among stakeholders to address privacy challenges effectively and establish ethical standards for the responsible use of Generative AI in the digital age.

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