An Intelligent Sociotechnical Systems (iSTS) Framework: Enabling a Hierarchical Human-Centered AI (hHCAI) Approach

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外文摘要：While artificial intelligence (AI) offers significant benefits, it also has negatively impacted humans and society. A human-centered AI (HCAI) approach has been proposed to address these issues. However, current HCAI practices have shown limited contributions due to a lack of sociotechnical thinking. To overcome these challenges, we conducted a literature review and comparative analysis of sociotechnical characteristics with respect to AI. Then, we propose updated sociotechnical systems (STS) design principles. Based on these findings, this paper introduces an intelligent sociotechnical systems (iSTS) framework to extend traditional STS theory and meet the demands with respect to AI. The iSTS framework emphasizes human-centered joint optimization across individual, organizational, ecosystem, and societal levels. The paper further integrates iSTS with current HCAI practices, proposing a hierarchical HCAI (hHCAI) approach. This hHCAI approach offers a structured approach to address challenges in HCAI practices from a broader sociotechnical perspective. Finally, we provide recommendations for future iSTS and hHCAI work.

外文关键词：

Artificial intelligenceSociotechnical systemsOptimizationEthicsDecision makingIntelligent systemsAccidentsPsychologyDatabasesCoal mining

作者：

Wei Xu、Zaifeng Gao

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作者单位：

Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China|Department of Psychology and Behavioral Sciences, Center for Psychological Sciences, Zhejiang University, Hangzhou, China

Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China

出版年：

2025

DOI：

10.1109/TTS.2024.3486254

IEEE Transactions on Technology and Society

ISSN：

年,卷(期)：2025.6(1)