INTELIGÊNCIA ARTIFICIAL: GOVERNANÇA E TRANSPARÊNCIA?

Abstract

This article addresses a crucial topic for companies in the digital age: governance and transparency of data used by Artificial Intelligence to analyze, automate, and make decisions that can range from hiring to credit approvals. New challenges arise daily regarding which algorithms are being used, what data is feeding the AI to achieve these results, and the potential biases generated. Such biases can lead to discrimination, privacy violations, and regulatory failures due to the lack of audits and the absence of implemented algorithmic ethics, impacting companies’ reputations, organizational culture, and operations, even those with high standards of governance and compliance. Amazon, Apple, Clearview AI, and Uber have faced these challenges and serve as case studies in this article. Practical solutions and ethical recommendations will be presented, such as the use of explainability tools, internal audits, and compliance reports to improve transparency and security. The study will also briefly highlight some regulatory initiatives, such as the European Union’s AI Act and Brazil’s Bill No. 210 of 2024, which aims to promote the ethical use of AI in Brazil.