Generative AI Models: Ethical, Legal, and Societal Implications in the Digital Era

Abstract

Generative Artificial Intelligence (AI) models, including large language models and generative adversarial networks, are rapidly transforming digital landscapes across industries. While these models offer unprecedented opportunities for innovation, they also raise significant ethical, legal, and societal challenges. This paper examines the implications of generative AI in the digital era, focusing on fairness, transparency, accountability, privacy, and regulatory compliance. Drawing on existing frameworks, including AI ethics guidelines, OECD principles, and the EU AI Act, the study explores how organizations and policymakers can ensure responsible deployment of generative AI technologies. The findings highlight the need for multidisciplinary approaches, balancing technological advancement with societal well-being and legal safeguards.