The goal of the AI4BPM workshop is to provide a forum for researchers and professionals interested in understanding, envisioning and discussing the challenges and opportunities of moving from current, largely programmatic approaches for BPM, to emerging forms of AI-enabled BPM. We invite you to submit original papers to be considered for inclusion in the workshop.
This workshop encourages papers describing original research and industrial experiences that explore how AI can be applied in BPM contexts. The workshop takes a broad view of both AI and BPM.
The workshop is interested in applications of AI for BPM, ranging from improvements on traditional approaches to BPM to fundamental transformations in how business operates. This may include (but is not limited to) the following:
Given that the research area of AI for BPM is in its infancy, we especially encourage submissions that explore totally new directions, which step outside of the areas listed above.
The activities of the workshop will include presentations of scientific papers and experience reports, and also discussion sessions. We solicit three kinds of submission:
Papers should be written in English, following the Springer LNCS format. All submissions will be reviewed by the workshop organizers and selected PC members. The submission process will be managed using the Easychair conference management system. Depending on the quality of submissions, we also consider publishing long versions of papers and challenge statements in a special issue of the Journal on Data Semantics.