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.

AI-Augmented Business Process Management Systems: A Research Manifesto / Dumas, Marlon; Fournier, Fabiana; Limonad, Lior; Marrella, Andrea; Montali, Marco; Rehse, Jana-Rebecca; Accorsi, Rafael; Calvanese, Diego; De Giacomo, Giuseppe; Fahland, Dirk; Gal, Avigdor; Rosa, Marcello La; Völzer, Hagen; Weber, Ingo. - In: ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS. - ISSN 2158-656X. - 14:1(2023). [10.1145/3576047]

AI-Augmented Business Process Management Systems: A Research Manifesto

Marrella, Andrea
;
Montali, Marco;Calvanese, Diego;De Giacomo, Giuseppe;
2023

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.
2023
Business Process Management; Artificial Intelligence; Process Mining; Automated Planning; Machine Learning
01 Pubblicazione su rivista::01a Articolo in rivista
AI-Augmented Business Process Management Systems: A Research Manifesto / Dumas, Marlon; Fournier, Fabiana; Limonad, Lior; Marrella, Andrea; Montali, Marco; Rehse, Jana-Rebecca; Accorsi, Rafael; Calvanese, Diego; De Giacomo, Giuseppe; Fahland, Dirk; Gal, Avigdor; Rosa, Marcello La; Völzer, Hagen; Weber, Ingo. - In: ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS. - ISSN 2158-656X. - 14:1(2023). [10.1145/3576047]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1664900
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