对比人本AI与社会技术原则，提出AI系统需持续适应与透明设计。
Comparing Socio-technical Design Principles with Guidelines for Human-centered AI
- 将人本AI原则与社会技术系统理论对比，重构适配AI的实践指南。
- 强调人类监督与协作自治下系统需持续演化与迭代设计。
- 指出技术透明需结合组织与社会实践，才能弥补AI短板。
人本AI（HCAI）旨在以伦理为导向设计系统。本文将HCAI准则与传统信息技术中的社会技术系统原则进行对比，发现社会技术系统的持续演进是其基本特征；当自主性由人机协作行使时，人类监督与干预会促使系统不断适应与再设计。从社会技术视角看，透明性不仅依赖技术手段，还需全系统（包括人类参与者）共同实现。若仅靠技术设计不足以支撑可靠使用，必须通过组织与社会实践的协同设计来弥补人工智能的局限性。
原文摘要 · Abstract (English)
Human-centered AI (HCAI) refers to guidelines or principles that aim on ethi-cally oriented design of systems. We compare HCAI- guidelines with princi-ples of socio-technical systems that emerged in the context of conventional in-formation technology. The comparison leads to a revision of socio-technical heuristics by including aspects of AI-usage. The comparison reveals that con-tinuous evolution is a basic characteristic of socio-technical systems, and that human oversight or interventions and the subsequent appropriation of AI-systems lead to continuous adaptation and re-design of the systems, if autono-my is collaboratively exercised. From a socio-technical point of view, the cru-cial requirement of transparency has not only to be fulfilled with technical fea-tures, but also by contributions of the whole system including human actors. It will be promising for using AI, if not only technical features, but organization-al and social practices are socio-technically designed in a way that compen-sates shortcomings of AI.
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