Regulatory Framework for Artificial Intelligence: Ethical and Legal Issues

Abstract

Artificial Intelligence (AI) has rapidly evolved and become integral to numerous domains, yet its regulatory and ethical considerations remain fragmented. This study addresses the gap between emerging AI technologies and the legal frameworks intended to govern them, highlighting critical issues such as algorithmic bias, data privacy, and accountability. The primary aim is to propose a unified regulatory framework that incorporates both legal and ethical dimensions, thereby guiding responsible AI deployment and reducing potential harms. A normative juridical approach was employed, focusing on the analysis of existing laws, policy documents, and relevant scholarly literature published within the last five years. This method enabled a comprehensive examination of AI-specific regulations, their enforcement mechanisms, and the efficacy of ethical principles in shaping legal norms. The findings reveal that most jurisdictions rely on outdated or piecemeal regulations, lack well-defined liability structures, and face challenges in integrating high-level ethical commitments into enforceable rules. As a result, there is an urgent need for adaptive, transparent, and globally coherent guidelines that can keep pace with AI’s rapid development. By outlining practical recommendations for policymakers, developers, and civil society, this study underscores the importance of a cohesive, forward-looking approach that balances technological innovation with the protection of individual rights and societal well-being.