Tag: OLACEFS

Since 2020, the Federal Court of Accounts of Brazil (TCU) has been structuring a policy of professional trajectories, with the aim of greater professionalization of its auditors. A professional trajectory is defined as the sequence of positions or roles occupied throughout the functional life of an auditor, encompassing qualifications, experiences, and competencies necessary to perform functions at a certain career level.

The INTOSAI-P 50 document outlines twelve principles for the jurisdictional activities of Supreme Audit Institutions (SAIs) empowered with the corresponding mandate, which allows them to rule on the liability of individuals accountable by law in case of irregularities or mismanagement.

Supreme Audit Institutions (SAIs) with jurisdictional functions from around the world make up approximately a quarter of the International Organization of Supreme Audit Institutions (INTOSAI) membership. According to Pompe et. Al (2022), these SAIs not only audit, but also assume crucial roles in the adjudication and management of public funds. SAIs with jurisdictional functions have become a beacon of transparency and accountability, as they conduct reviews of accounts, and impose sanctions upon detecting poor management or financial irregularities in government administration. 

This article presents a methodology to assess the effective transparency of information published on public entities’ portals. It considers not only the mere availability of information but also quality requirements of information, such as timeliness, completeness, conciseness, accuracy, clarity, reliability, accessibility, and relevance.

In 2022, the Brazilian Court of Audit (TCU) and the Comptroller General of the Union audited the Automotive Regional Development Policies (PADR) of the Brazilian government. These policies, created in the late 1990s, granted tax credits to automobile manufacturers that established factories in less developed regions of Brazil. 

In order to face the challenges of developing new strategies for public governance, it is a sine qua non requirement to work with efficiency and the citizen trust. To achieve this, the Supreme Audit Institutions (SAIs) are indispensable to ensure government transparency and accountability, which helps to maintain a financial discipline, and fight against corruption and impunity.

In the context of information society, digital transformation has led to an exponential growth in the production and storage of data, giving birth to what is known as data science, to address the need for new tools capable of smartly processing great volumes of data and transforming them into actionable information for decision-making in multiple environments.

Over time, many definitions have been given to the term Artificial Intelligence (AI), and the association of the term with others, such as machine learning and deep learning, has resulted in difficulties for a better understanding of the topic.

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.