Developing a conceptual technical framework for ethical AI in procurement with emphasis on legal oversight
1 Independent Researcher, Atlanta, Georgia. USA.
2 Ama Zuma Oil & Gas, Lagos, Nigeria.
Review Article
GSC Advanced Research and Reviews, 2024, 19(01), 146–160.
Article DOI: 10.30574/gscarr.2024.19.1.0149
Publication history:
Received on 13 March 2024; revised on 19 April 2024; accepted on 22 April 2024
Abstract:
This study presents a conceptual technical framework aimed at promoting ethical AI deployment within the procurement domain, with a particular focus on legal oversight. As the integration of artificial intelligence (AI) technologies in procurement processes becomes increasingly prevalent, concerns surrounding ethical considerations and legal compliance have come to the forefront. The framework outlined in this study offers a structured approach to addressing these challenges, emphasizing the importance of legal oversight in ensuring ethical AI practices. Drawing on existing literature and best practices, the framework outlines key components and principles for guiding the development, implementation, and monitoring of AI systems in procurement contexts. Central to the framework is the recognition of legal requirements and regulatory frameworks governing AI deployment, including data protection laws, liability provisions, and procurement regulations. By incorporating these legal considerations into the design and operation of AI systems, organizations can mitigate risks and ensure compliance with applicable laws. Additionally, the framework emphasizes the need for transparency and accountability in AI procurement processes, advocating for clear documentation, audit trails, and stakeholder engagement mechanisms. Furthermore, the framework outlines strategies for ethical AI design, including the identification and mitigation of algorithmic bias, the promotion of fairness and equity, and the protection of privacy rights. By embedding ethical principles into the development lifecycle of AI systems, organizations can foster trust and confidence among stakeholders while minimizing the potential for harm or discrimination. Overall, the conceptual technical framework presented in this study provides a comprehensive approach to promoting ethical AI in procurement, with a specific emphasis on legal oversight. By integrating legal requirements, ethical principles, and technical considerations, organizations can ensure that AI deployment in procurement processes is conducted responsibly, transparently, and in accordance with legal and ethical standards.
Keywords:
Legal Oversight; Emphasis; Ethical AI; Procurement; Conceptual Technical Framework
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Copyright information:
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
