The Governance of Artificial Intelligence: Balancing Ethics, Law and Innovation

Abstract

Artificial Intelligence (AI) has become deeply embedded in modern society, influencing diverse sectors such as healthcare, finance, education, and governance. While AI offers immense potential to enhance social welfare through automation, data-driven decision-making, and innovation, it also raises concerns about bias, accountability, privacy, and social inequality. The rapid advancement of AI technologies underscores the urgent need for effective governance that balances innovation with ethical responsibility. This paper reviews recent developments in AI ethics and regulatory frameworks, focusing on the intersection of law, technology, and human values. It highlights ongoing debates among policymakers, researchers, and industry leaders about the adequacy of current legal systems, the role of ethical principles, and the influence of corporate interests on AI standards. Drawing on interdisciplinary scholarship, including the works of Floridi, Hagerty, Bhadani, and Wang, the paper analyses global efforts such as the European Union’s GDPR and the proposed Ethical Regulatory Framework for AI (ERF-AI). These initiatives emphasize fairness, transparency, accountability, and human-centered design as core elements of responsible AI. However, challenges persist due to regulatory fragmentation, power imbalances, and the dominance of private sector influence. The study concludes that robust, context-sensitive frameworks integrating ethical, legal, and technical dimensions are essential for ensuring that AI development supports human rights, social equity, and democratic governance while mitigating potential harms.