Theoretical Foundations and Ethical Dimensions of Agentic AI in Procurement

Bernardo Nicoletti
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Bernardo Nicoletti: Temple University, Fox School of Business

Chapter Chapter 3 in Agentic AI for Procurement, 2026, pp 55-67 from Springer

Abstract: Abstract Traditional artificial intelligence (AI) systems differ from agentic (AAI) systems. The latter offers independent decision-making powers that have the potential to transform supply networks and procurement management. AAI can use AI tools to reach some of its functionalities. AAI’s ability to perform complex operational tasks with minimal human oversight, operate autonomously, learn continuously, and adapt to changing circumstances sets it apart from traditional AI. This development raises more than just ethical questions about autonomous decision-making in organizations. It also challenges the established theoretical framework for relationships within organizations. By taking over tasks that humans historically performed, these systems undermine existing authority, accountability, and ethical responsibility frameworks. Thoroughly examining their integration’s theoretical ramifications and practical applications is required. Appropriate use of AAI requires transparency, good governance, and a clearly defined legal framework. This chapter discusses AAI’s characteristics, applications, and revolutionary potential. It examines the impact of AAI on society and the economy, suggests areas for research, and makes recommendations for stakeholders to make AAI a trusted, transformative force for responsible innovation and meaningful progress.

Keywords: Ethics; Moral; Agentic AI; Risk; Governance; Procurement (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-23024-9_3

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DOI: 10.1007/978-3-032-23024-9_3

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