Hacia una gobernanza algorítmica transparente: auditoría de sesgo. Estudio de caso.
Abstract
This article examines the necessity of implementing bias audits in algorithmic systems, particularly within the context of public governance. With the increasing use of artificial intelligence (AI) in governmental decision-making, concerns about the transparency and fairness of these systems have arisen. The paper analyzes various European regulations, such as the Artificial Intelligence Act (AI Act), and case studies that highlight the persistence of biases in algorithms, emphasizing the importance of a proactive regulatory approach and systematic audits. Additionally, it discusses the ethical and social implications of algorithmic governance and proposes solutions to mitigate associated risks.
Keywords
Algorithmic governance, transparency, bias audit, artificial intelligence.
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