Public Sector Leadership in the Age of AI: A Framework for Ethical Governance

Abstract

In the age of artificial intelligence (AI), public sector leadership and management must adapt to ensure effective governance. AI technologies offer enhanced efficiency and decision-making capabilities but introduce challenges such as ethical concerns, data privacy, and transparency (Smith, 2023). Leaders must develop a strong understanding of AI, establish ethical frameworks, and promote transparency to build public trust (Jones & Brown, 2023). Implementing robust data governance practices and involving stakeholders in AI deployment are essential for addressing biases and ensuring equitable outcomes (Davis, 2024). Interdisciplinary collaboration among technologists, ethicists, and policymakers can drive effective AI integration (Clark & Williams, 2024). Case studies, such as AI in predictive policing and public health, highlight the need for ethical oversight and transparent communication (Patel & Thompson, 2024). By adopting these strategies, public sector leaders can harness AI's potential while maintaining accountability and serving the public interest effectively (White, 2024).