Comparative technical analysis of legal and ethical frameworks in AI-enhanced procurement processes
1 Independent Researcher, Atlanta, Georgia. USA.
2 Ama Zuma Oil & Gas, Lagos.
Review Article
World Journal of Advanced Research and Reviews, 2024, 22(01), 1415–1430
Publication history:
Received on 11 March 2024; revised on 20 April 2024; accepted on 22 April 2024
Abstract:
This study presents a Comparative Technical Analysis of Legal and Ethical Frameworks in AI-Enhanced Procurement Processes. The research aims to evaluate the existing legal and ethical frameworks governing the use of artificial intelligence (AI) in procurement and to identify best practices for ensuring transparency, accountability, and ethical decision-making in AI-driven procurement processes. The study adopts a mixed-methods approach, combining quantitative surveys and qualitative interviews with procurement professionals and legal experts. The research design allows for a comprehensive analysis of the legal and ethical challenges associated with AI deployment in procurement and provides insights into practical strategies for addressing these challenges. Findings from the study indicate a growing recognition of the need for clear guidelines and regulations to govern the use of AI in procurement. While respondents acknowledge the potential benefits of AI, such as improved efficiency and cost savings, they also express concerns about algorithmic bias, data privacy, and the lack of transparency in AI-driven decision-making processes. Based on these findings, the study recommends several strategies for enhancing the legal and ethical frameworks in AI-enhanced procurement processes. These include developing clear guidelines for AI deployment, providing training and support for procurement professionals, and establishing mechanisms for monitoring and evaluating AI systems. Overall, the study highlights the importance of integrating legal and ethical considerations into AI deployment in procurement to ensure transparency, accountability, and ethical decision-making. The findings contribute to the growing body of literature on AI governance and provide practical insights for policymakers, procurement professionals, and other stakeholders involved in AI-driven procurement processes.
Keywords:
Comparative; Technical Analysis; Legal Ethical Framework; Al-Enhanced; Procurement Processes
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0