Anita Neumannova, IMC Researcher, Co-Chairs AI-mediated IS Development Track at ECIS 2027

Anita Neumannova will serve as co-chair of the track AI-mediated IS Development at the 35th European Conference on Information Systems (ECIS), scheduled for 21-26 May 2027 in Luxembourg City, Luxembourg. Everist Limaj, from the Institute for Information Management and Control, will serve as Track Associate Editor.

For submission information, please take a look here: https://ecis2027.uni.lu/track-15/

Track Description

Information systems (IS) development is undergoing a fundamental transformation. The rapid diffusion of AI-mediated software development, ranging from in-editor assistants and agentic coding tools to dedicated platforms that generate software directly from natural-language intent, is reshaping who writes code, how it is produced, and how its quality is assured. The most pointed expression of this shift is vibe coding, a paradigm in which developers describe what they want in natural language and let large language models generate the code, deliberately refraining from inspecting or modifying it. AI-mediated development opens many new questions around the delegation of cognitive labour to probabilistic systems, deliberate code opacity, and the displacement of traditional control mechanisms.

AI-mediated development is reshaping hiring patterns, educational curricula, and the economics of software production. Early evidence points to fundamental shifts in how organisations allocate engineering resources, how developers experience and structure their work, and how software enters production. Further, existing theoretical frameworks are strained by the novelty of the phenomenon. Classical assumptions about code authorship, developer expertise, peer review, and accountability were built for a world in which humans wrote code they could understand. When that assumption breaks down, the conceptual foundations of IS development governance need rebuilding. In addition, the gap between practice and research is widening. Industry adoption has moved faster than empirical investigation, and the discourse on AI-mediated development is dominated by technical and commercial voices rather than rigorous analysis from IS scholars.

IS research has long examined the sociotechnical consequences of shifting the boundary between human and machine work, and offers mature theoretical resources for doing so. This track, therefore, invites research that engages critically and empirically with AI-mediated IS development across its full spectrum, from AI pair programming through agentic tools to vibe coding. The scope extends beyond tool adoption to address how organisations govern opaque artefacts, how developers calibrate trust in probabilistic code generation, how accountability functions when neither human nor AI can fully explain implementation decisions, and how this paradigm reshapes the division of cognitive labour.