Tag: machine learning

The expanding complexity of digital governance has fundamentally reshaped the audit landscape. Supreme Audit Institutions (SAIs) today confront voluminous financial records, and rapidly evolving programme architectures that strain conventional audit methods. Sample based scrutiny, and conventional data analysis methodologies are increasingly inadequate to detect systemic risks, hidden relationships, and governance failures embedded within interconnected digital systems.

Supreme Audit Institutions (SAIs) are the cornerstone of maintaining accountability, transparency and effectiveness in the public sector, particularly in government operations. However, as technology evolves at breakneck speed, it is imperative that SAIs embrace cutting-edge data technologies, such as Machine Learning (ML), to revolutionize their auditing processes. With ML, SAIs can enhance efficiency, accuracy and effectiveness, providing a more comprehensive, data-driven analysis of government operations, thus ensuring the highest standards of accountability and trust.

On May 11, 2021, the European Organization of Supreme Audit Institutions (EUROSAI) IT Working Group organized an e-seminar, “From Code to Action: SAIs in the World of AI,“ attended by 250 participants from 50 Supreme Audit Institutions (SAIs) around the world. The aim of the event was to…

Technological advances have impacted the work of most SAIs, and emerging technologies have the potential to further shape the ways in which SAIs contribute to good governance. SAIs are at different stages in their technological journeys, and their use of technology may be affected by…

The National Audit Office (NAO) of Finland conducts financial, compliance performance, and fiscal policy audits. Prompted by data analytics opportunities, centralized implementation quality and efficiencies as well as a goal to provide better service to a wider variety of customers, NAO Finland…

Public authorities and government entities have already started developing and implementing Artificial Intelligence (AI) and Machine Learning (ML) algorithms to improve public services and reduce costs. While prospective gains are immense, this technology also presents new challenges and risks, such as…

Technology is driving change in society, and different professions are rediscovering roles and aligning themselves with the technological direction of the future. The auditing profession cannot be immune to these effects…