Generative AI in Info Systems and Service Systems (SIG SVC)

Recent advances in artificial intelligence (AI) have introduced new paradigms in machine processing, transitioning from data-focused, discriminative AI tasks to more complex and creative endeavors through generative AI (GenAI). Leveraging these innovations, GenAI now possesses the ability to create unique, realistic, contextually appropriate content that is almost indistinguishable from human-generated material. Based on that, this new paradigm information systems (IS) have increasingly evolved from passive tools into autonomous entities that can learn, adapt content, interact, and act independently. This shift in agency from humans to agentic IS artefacts (e.g., Conversational Agents, LLMs) forms the foundation for the next generation of IS artifacts, opening a wide range of possibilities for research as well as the reevaluation of existing concepts. In this context, the AIS SIG Service track offers a forum for all researchers interested in shaping the next generation of information and service systems. We particularly welcome submissions at the individual, organizational, and societal levels in the context of designing and impact of generative AI or agentic IS artifacts, including new design methodologies, conceptualizations, tools, as well as research on the behavioral implications of this paradigm. As current research on generative AI and agentic IS is conducted across disciplinary boundaries, there is a need to establish common ground and advance this research stream. This track aims to bring together and foster discussions among scholars as well as practitioners alike who are working on various aspects of the phenomenon.

Track Chairs:
Gero Strobel, University Duisburg-Essen
Mahei Manhai Li, University of Kassel
Sarah Honigsberg, ICN Business School