This contribution explores how the integration of Artificial Intelligence (AI) into organizational practices can be effectively framed through a socio-technical perspective to comply with the requirements of Human-centered AI (HCAI). Instead of viewing AI merely as a technical tool, the analysis emphasizes the importance of embedding AI into communication, collaboration, and decision-making processes within organizations from a human-centered perspective. Ten case-based patterns illustrate how AI support of predictive maintenance can be organized to address quality assurance and continuous improvement and to provide different types of sup-port for HCAI. The analysis shows that AI adoption often requires and enables new forms of organizational learning, where specialists jointly interpret AI output, adapt workflows, and refine rules for system improve-ment. Different dimensions and levels of socio-technical integration of AI are considered to reflect the effort and benefits of keeping the organization in the loop.

翻译：本文探讨了如何通过社会技术视角，将人工智能有效融入组织实践，以满足以人为本人工智能的要求。分析强调，不应仅将AI视为技术工具，而应从以人为本的视角，将AI嵌入组织内部的沟通、协作与决策过程。基于十个案例的模式展示了如何组织AI支持的预测性维护，以应对质量保证与持续改进的需求，并为HCAI提供不同类型的支持。分析表明，AI的采用往往需要并催生新的组织学习形式——专家共同解读AI输出、调整工作流程、并优化系统改进规则。研究考虑了AI社会技术整合的不同维度与层次，以反映让组织保持在循环中所付出的努力与获得的收益。