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2024 | OriginalPaper | Buchkapitel

The Role of Human-Centered AI in User Modeling, Adaptation, and Personalization—Models, Frameworks, and Paradigms

verfasst von : Helma Torkamaan, Mohammad Tahaei, Stefan Buijsman, Ziang Xiao, Daricia Wilkinson, Bart P. Knijnenburg

Erschienen in: A Human-Centered Perspective of Intelligent Personalized Environments and Systems

Verlag: Springer Nature Switzerland

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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 others, 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.

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Fußnoten
1
Note that the examples provided in this section are merely a few illustrations, and a comprehensive discussion of the various approaches, methods, evaluations, and resulting guidelines extends beyond the scope of this chapter. We have only presented a concise overview of one example per paradigm for brevity (for more details on privacy, see [68]).
 
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Metadaten
Titel
The Role of Human-Centered AI in User Modeling, Adaptation, and Personalization—Models, Frameworks, and Paradigms
verfasst von
Helma Torkamaan
Mohammad Tahaei
Stefan Buijsman
Ziang Xiao
Daricia Wilkinson
Bart P. Knijnenburg
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-55109-3_2