AI-Augmented Business Process Management Systems: A Research Manifesto
January 30, 2022 Β· Declared Dead Β· π ACM Transactions on Management Information Systems
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Authors
Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen VΓΆlzer, Ingo Weber
arXiv ID
2201.12855
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.SE
Citations
111
Venue
ACM Transactions on Management Information Systems
Last Checked
3 months ago
Abstract
AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the execution of business processes with the aim of making these processes more adaptable, proactive, explainable, and context-sensitive. This manifesto presents a vision for ABPMSs and discusses research challenges that need to be surmounted to realize this vision. To this end, we define the concept of ABPMS, we outline the lifecycle of processes within an ABPMS, we discuss core characteristics of an ABPMS, and we derive a set of challenges to realize systems with these characteristics.
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