Research on artifical intelligence technology has not only increased rapidly over recent years, it is also no longer limited to the technical disciplines from which it originates. AI technologies feature prominently in social and sociotechnical studies including those conducted in information systems. Through a scoping review we explore how the research on different kinds of AI technologies has progressed over the past decade. Particularly, we explore whether the cross-disciplinary research on AI technology is informed by and informs our sociotechnical understanding of phenomena related to their design, development and implementation. For this purpose, we develop an analytical framework that differentiates sociotechnical perspectives, categorizes AI technologies into different kinds, and distinguishes research on its design, development, and implementation. Our review shows that current research is lacking empirical approaches and provides only a limited understanding of the interactive effects of social and technical factors. Based on this, we discuss opportunities for research.