Figure 1
A diagram representing the sociotechnical framework of AI transformation in academia. The diagram is divided into several sections, each representing different factors and their relationships. At the top, society-level factors include laws and regulations, privacy, and economic circumstances. Below that, key institutional-level factors include banning or blocking AI, AI policies, and academic leadership. The central section focuses on AI technology and system design, which includes design and deployment of AI, limitations of AI development, and AI integration in learning systems. This section also highlights individual factors such as AI literacy, AI attitudes, and responses to AI by others. Another section within this central area is AI use in academic work, which includes teaching, research, and service. On the right side Outcomes and Consequences are depicted, including Transformational effect, Knowledge acquisition, Diversity, equity & inclusion, and Enhanced performance and stress.Sociotechnical AAITF framework of AI-transformation in academia. Source: Authors’ own work