TY - CHAP
T1 - Sociomaterial Perspectives of AI and Procurement
AU - Blaha, Luciana
AU - Brown, David M.
AU - Chandarana, Krishan
AU - Devin, Amber
PY - 2026/4/1
Y1 - 2026/4/1
N2 - This chapter explores how artificial intelligence (AI) shapes organizations and human work, focusing on the emerging challenges facing human-AI collaboration. Its context is the use of AI in the procurement of AI technologies. To analyze this human-technology interaction, we adopt a sociomaterial lens, capturing how algorithms are integrated into organizational dynamics and decision-making processes, thereby delineating the boundaries between humans and technology. From this perspective, we discuss the potential of “artificial humans” AI—systems which increasingly emulate human cognition and decision-making—within procurement. We therefore interpret AI not merely as a tool for enhancing procurement efficiency but also as an entity intended to transform organizational practices and social relations. We consider the long-term implications of AI integration for human roles, expertise, and decision-making, emphasizing the need for balanced, human-aware, and technology-inclusive approaches to AI. Drawing upon public sector publications, we then identify ethical challenges and the need for transparency and accountability within AI procurement. Our findings show how the ethical, societal, and operational outcomes of AI—and its embeddedness within human activities—can be determined and managed during the procurement process.
AB - This chapter explores how artificial intelligence (AI) shapes organizations and human work, focusing on the emerging challenges facing human-AI collaboration. Its context is the use of AI in the procurement of AI technologies. To analyze this human-technology interaction, we adopt a sociomaterial lens, capturing how algorithms are integrated into organizational dynamics and decision-making processes, thereby delineating the boundaries between humans and technology. From this perspective, we discuss the potential of “artificial humans” AI—systems which increasingly emulate human cognition and decision-making—within procurement. We therefore interpret AI not merely as a tool for enhancing procurement efficiency but also as an entity intended to transform organizational practices and social relations. We consider the long-term implications of AI integration for human roles, expertise, and decision-making, emphasizing the need for balanced, human-aware, and technology-inclusive approaches to AI. Drawing upon public sector publications, we then identify ethical challenges and the need for transparency and accountability within AI procurement. Our findings show how the ethical, societal, and operational outcomes of AI—and its embeddedness within human activities—can be determined and managed during the procurement process.
KW - Industry 5.0
KW - Digital-Entrepreneurial Ecosystems
KW - Artificial Intelligence Regulations
KW - Human-AI Teaming
KW - Human-AI Creative Partnership
KW - Open Innovation
KW - Sustainable Innovation
KW - Ethical Human-AI Collaboration
KW - Human-Centered AI
UR - https://www.scopus.com/pages/publications/105038000353
U2 - 10.1007/978-3-032-06604-6_13
DO - 10.1007/978-3-032-06604-6_13
M3 - Chapter (peer-reviewed)
SN - 9783032066039
SN - 9783032066060
T3 - Future of Business and Finance
SP - 217
EP - 234
BT - Artificial Humans
A2 - Dabić, Marina
A2 - Tariq, Adeel
A2 - Torkkeli, Marko
PB - Springer
ER -