Ethical AI Governance: Principles, Policies, and Practices for Responsible Artificial Intelligence
Siti Nurhaliza
Nguyen Van A
Abstract
The rapid advancement of Artificial Intelligence (AI) technologies has brought about profound impacts on society, necessitating the establishment of robust ethical AI governance frameworks. This paper explores the foundational principles, policies, and practices required for the responsible deployment and management of AI systems. It begins by discussing the urgent need for ethical considerations in AI development and deployment, highlighting the potential risks and benefits. The paper then delves into the core principles that should guide ethical AI governance, including transparency, accountability, fairness, and privacy. Following this, it examines existing policies and regulatory approaches adopted by various countries and organizations, identifying their strengths and weaknesses. The paper further explores best practices for implementing these principles effectively in diverse contexts, emphasizing stakeholder engagement, continuous monitoring, and adaptive governance. Through a comprehensive review and analysis, this paper aims to provide actionable insights for policymakers, practitioners, and researchers involved in AI governance, contributing to the development of AI that is not only innovative but also ethical and socially beneficial.
