Artificial Intelligence and Data Concerns for Government Sector Undertakings

Abstract

The integration of Artificial Intelligence (AI) within government sector undertakings (PSUs) represents a critical step toward achieving enhanced operational efficiency, improved service delivery, and more informed decision-making processes. However, this transformative potential is accompanied by significant concerns, particularly around data privacy, security, governance, and ethical issues. This paper seeks to explore the nuanced relationship between AI and data concerns in PSUs, evaluating the advantages, challenges, and best practices for managing these technologies responsibly. In doing so, it highlights strategies for balancing innovation with responsible data governance to ensure that AI is implemented effectively, ethically, and securely in the public sector.