Challenges in Addressing the Ethical Aspects of Artificial Intelligence to Detect Fraud in Public Procurement Processes

Public Procurement Processes (PPPs) involve substantial taxpayer money, necessitating efficiency and transparency. Artificial Intelligence (AI) is increasingly applied to fraud detection in PPPs, enhancing these processes. This work presents a literature review on AI’s role in PPP fraud detection, focusing on ethical and technical challenges, including fairness, transparency, and privacy. We examine the global state of AI applications in PPPs, highlighting best practices and case studies. By analyzing these technologies’ challenges and opportunities, we provide insights and propose strategies for mitigating risks, contributing to the debate on responsible AI adoption in the public sector.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.5753/laai-ethics.2024.32440
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
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article

Challenges in Addressing the Ethical Aspects of Artificial Intelligence to Detect Fraud in Public Procurement Processes

José Viterbo, Flávia Bernardini, Igor Garcia Ballhausen Sampaio
Blockchain Technology Applications and Security
article

Challenges in Addressing the Ethical Aspects of Artificial Intelligence to Detect Fraud in Public Procurement Processes

José Viterbo, Flávia Bernardini, Igor Garcia Ballhausen Sampaio
article en

Abstract

Public Procurement Processes (PPPs) involve substantial taxpayer money, necessitating efficiency and transparency. Artificial Intelligence (AI) is increasingly applied to fraud detection in PPPs, enhancing these processes. This work presents a literature review on AI’s role in PPP fraud detection, focusing on ethical and technical challenges, including fairness, transparency, and privacy. We examine the global state of AI applications in PPPs, highlighting best practices and case studies. By analyzing these technologies’ challenges and opportunities, we provide insights and propose strategies for mitigating risks, contributing to the debate on responsible AI adoption in the public sector.

Openalex Percentile: Top 61%
Blockchain Technology Applications and Security
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