Pour Haji Kazem, Ali Asghar2025-04-182025-04-182024Kazem, A. A. P. H. (2024). Learning theory. In Decision-Making Models (pp. 47-50). Academic Press.978-044316147-6, 978-044316148-3https://hdl.handle.net/20.500.12713/7227This chapter addresses fundamental aspects of learning theory, its ethical implications in model development and deployment, its integration with decision-making processes, and future directions. The introduction highlights learning theory's role in bridging data and informed choices, while ethical considerations underscore the need to address bias, transparency, and societal impact. The interplay between learning theory and decision-making is explored, enabling systems to navigate uncertainty. Looking ahead, the evolution of learning theory is expected to encompass explainable AI, neuroscience influences, ethical considerations, and integration with emerging technologies, promising transformative advancements across various domains. © 2024 Elsevier Inc. All rights reserved.eninfo:eu-repo/semantics/closedAccessArtificial İntelligenceDecision-MakingLearning TheoryBook Chapter47502-s2.0-8520281452610.1016/B978-0-443-16147-6.00009-8N/A