The field of Artificial Intelligence (AI) continues to grow, with new and deeper techniques, and with applications across numerous areas. In the past few years, we have seen strong interest from both industry and academia in applying AI techniques in the area of Business Process Management (BPM). Indeed, the application of AI is impacting additional areas where process management perspectives and techniques are relevant, including industrial engineering, IoT, and emergency response, to name a few.

The use of AI in BPM has been discussed as the next disruptive technology that will touch almost all the business process activities being performed by humans. Over time, AI may lead to entirely new paradigms for business processes and operations. For example, instead of BPM models centered on process or on case management, we anticipate models that are based fundamentally on goal achievement, as well as we anticipate models that fully enable continuous improvement and adaptation based on experiential learning.

The goal of this workshop is to establish 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.

Chiara Di Francescomarino, Fondazione Bruno Kessler, Italy (dfmchiara@fbk.eu)
Fabrizio Maria Maggi, Free University of Bozen-Bolzano, Italy (maggi@inf.unibz.it)
Andrea Marrella, Sapienza University of Rome, Italy (marrella@diag.uniroma1.it)
Arik Senderovich, York University, Canada (sariks@yorku.ca)
Emilio Sulis, University of Turin, Italy (emilio.sulis@unito.it)

Website: https://ai4bpm.inf.unibz.it/

Call for Papers: https://uni-muenster.sciebo.de/s/0pZw7hdN6m30TXR