The Role of Human-Centered AI in User Modeling, Adaptation, and Personalization—Models, Frameworks, and Paradigms
Helma Torkamaan (TU Delft - System Engineering)
S.N.R. Buijsman (TU Delft - Ethics & Philosophy of Technology)
Mohammad Tahaei (University of California)
Ziang Xiao (Johns Hopkins University)
Daricia Wilkinson (Microsoft Research (MSR))
Bart P. Knijnenburg (Clemson University)
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Abstract
This chapter explores the principles and frameworks of human-centered artificial intelligence (AI), specifically focusing on user modeling, adaptation, and personalization. It introduces a four-dimensional framework comprising paradigms, actors, values, and levels of realization that should be considered in the design of human-centered AI systems. This framework highlights a perspective-taking approach with four lenses of technology-centric, user-centric, human-centric, and future-centric perspectives. Ethical considerations, transparency, fairness, and accountability, among other aspects, are highlighted as values when developing and deploying AI systems. The chapter further discusses the corresponding human values for each of these concepts. Opportunities and challenges in human-centered AI are examined, including the need for interdisciplinary collaboration and the complexity of addressing diverse perspectives. Human-centered AI provides valuable insights for designing AI systems that prioritize human needs, values, and experiences while considering ethical and societal implications.