The Limits of Intuition in Artificial Intelligence
Edyta Skarzyńska, Jay Liebowitz, Giovanni Miragliotta, Joanna Olga Paliszkiewicz · 2025
This chapter explores the role of intuition in the development and use of artificial intelligence (AI) systems. The authors discuss the challenges of implementing intuitive mechanisms in AI to enhance its effectiveness and decision-making in information-scarce scenarios. Intuition, rooted in experience and subconscious analysis, is highlighted as a key factor in building user trust in AI. Studies suggest that combining human intuition with the analytical precision of AI can lead to more effective decisions, particularly in fields such as management, diagnostics, and data analysis. This chapter addresses the technical and ethical aspects of artificial intuition, such as the risks of bias and the importance of transparency. Research findings reveal optimism about AI’s ability to simulate intuition within a few years, though skepticism remains regarding its ability to fully replicate human capabilities. The authors emphasize the need for inclusive AI design that considers user diversity and advocates for developing hybrid models that merge intuition with analytics. This chapter concludes with recommendations for further research and responsible development of intuitive AI systems to balance efficiency, transparency, and ethical considerations.