A Review on Ethical and Legal Issues in Artificial Intelligence and Data Privacy

Elavarasi  Kesavan

doi:10.69968/ijisem.2024v3i494-99

Authors

Elavarasi Kesavan Full Stack QA Architect, Cognizant https://orcid.org/0009-0008-3844-0286

DOI:

https://doi.org/10.69968/ijisem.2024v3i494-99

Keywords:

Generative artificial intelligence (AI), Data leakage, Misuse, Cyberattacks, Ethical and legal issues

Abstract

Existing data governance frameworks are facing issues due to the fast development of generative artificial intelligence (AI), which has garnered international attention. AI regulation is made more challenging by the growing technological complexity and size of data utilization, which also poses problems for the existing legal framework. The literature on ethical and legal concerns related to artificial intelligence and data privacy is reviewed in this article. It concluded that the rapid advancement of AI, particularly generative models, presents significant ethical and legal challenges related to data privacy, security, and personal rights. As AI increasingly relies on vast amounts of personal data, risks such as data leakage, misuse, and cyberattacks escalate. Existing privacy regulations struggle to keep pace with evolving technologies, highlighting the urgent need for robust frameworks, interdisciplinary collaboration, and ethical foresight. Addressing these concerns requires a balanced approach that safeguards individual privacy while fostering responsible innovation, ensuring that AI development aligns with societal values and legal protections in the digital age.

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