The emergence of algorithmic auditing in the public sector
Ilse Morgan · 2024
The increased use of artificial intelligence and algorithmic systems necessitates the performance of algorithmic audits. The chapter presents the emerging field of algorithmic auditing in the public sector, focusing on the continuous audit of algorithms and artificial intelligence systems. It provides a comprehensive exploration of the performance, quality, and impact of algorithmic or automated decision-making systems, emphasising the need for ethical principles and values to guide their design and use. The benefits and risks of implementing algorithms in public sector information systems are presented with reference to current practices and standards of auditing and reporting in the public sector. The types and methods of algorithmic audits, legal requirements, and challenges, including data protection, privacy, security, liability, and human rights, were examined. The chapter explores the role and potential of artificial intelligence and blockchain technologies in enhancing the efficiency and effectiveness of algorithmic auditing while addressing the related ethical issues and dilemmas. The chapter concludes by proposing the enhanced implementation of continuous auditing of algorithms and artificial intelligence systems in the public sector, providing recommendations and opportunities for future research.