Human–AI collaboration in decision making

Hassan Qudrat-Ullah ()

Chapter 9 in Understanding Advanced Decision Making, 2025, pp 230-255 from Edward Elgar Publishing

Abstract: This chapter explores the dynamic landscape of decision-making processes, focusing on the evolving collaboration between human experts and AI systems. Beginning with an overview of the importance of human–AI collaboration, the theoretical foundations delve into historical perspectives, human intuition, expertise, and AI capabilities. The roles and responsibilities in collaborative decision making, strategies for optimizing synergy, and real-world case studies are examined, providing insights into successful implementations. Future trends, including emerging technologies, potential advancements, and anticipated challenges, are explored, offering a glimpse into the trajectory of human–AI collaboration. The conclusion recaps key points, issues a call to action for organizations, and reflects on the future trajectory of this transformative collaboration in decision-making processes. The chapter advocates for a proactive embrace of human–AI collaboration, outlining key imperatives for organizations to navigate this paradigm shift effectively.

Keywords: Human–AI collaboration; Decision-making processes; Artificial intelligence; Expertise; Synergy; Roles and responsibilities; Theoretical foundations; Future trends; Ethical considerations; Case studies; Optimization; Emerging technologies (search for similar items in EconPapers)
Date: 2025
ISBN: 9781035346233
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