Envisaging Ethical Artificial Intelligence Governance Frameworks for Public Sector Applications: Addressing Accountability, Transparency and Fairness

Abstract

The integration of Artificial Intelligence (AI) into the public sector presents significant ethical and governance challenges that necessitate a comprehensive framework to ensure responsible implementation. This paper aims to develop a robust ethical AI governance framework tailored for government and public sector institutions. The research addresses critical issues such as accountability, transparency, and fairness in AI systems, focusing on maintaining public trust and mitigating potential biases. We propose ethical principles for AI development, evaluate existing regulatory models, and offer recommendations for effective oversight and public engagement. By analysing current policy models and integrating ethical considerations into the AI lifecycle, this study seeks to balance innovation with ethical imperatives. The findings provide actionable insights for public sector leaders and policymakers to establish governance frameworks that promote ethical AI usage, manage associated risks, and enhance societal benefits, ensuring equitable outcomes in public sector applications.