Human-Centered Artificial Intelligence (HCAI): Foundations and Approaches
Wei Xu

TL;DR
This paper reviews the foundations, principles, and methodologies of Human-Centered Artificial Intelligence (HCAI), emphasizing aligning AI development with human values and societal well-being to ensure beneficial and ethical AI systems.
Contribution
It establishes the conceptual and methodological foundations of HCAI, integrating philosophical principles with practical strategies for human-centered AI design.
Findings
HCAI provides a holistic framework for aligning AI with human values.
Key principles and methodologies guide the development of ethical AI systems.
HCAI bridges philosophical concepts with operational implementation.
Abstract
Artificial Intelligence (AI) is a transformative yet double-edged technology that can advance human welfare while also posing risks to humans and society. In response, the Human-Centered Artificial Intelligence (HCAI) approach has emerged as both a design philosophy and a methodological complement to prevailing technology-centered AI paradigms. Placing humans at the core, HCAI seeks to ensure that AI systems serve, augment, and empower humans rather than harm or replace them. This chapter establishes the conceptual and methodological foundations of HCAI by tracing its evolution and recent advancements. It introduces key HCAI concepts, frameworks, guiding principles, methodologies, and practical strategies that bridge philosophical HCAI principles with operational implementation. Through an analytical review of the emerging characteristics and challenges of AI technologies, the chapter…
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Taxonomy
TopicsEthics and Social Impacts of AI · Artificial Intelligence in Healthcare and Education · Explainable Artificial Intelligence (XAI)
