AI-augmented Business Process Management Systems: A Research Manifesto

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 Völzer; Ingo Weber

doi:10.1145/3576047

AI-augmented Business Process Management Systems: A Research Manifesto

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 Völzer
, Ingo Weber (Corresponding author)

Research output: Contribution to journal › Article › Academic › peer-review

134 Citations (Scopus)

828 Downloads (Pure)

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.

Original language	English
Article number	11
Number of pages	19
Journal	ACM Transactions on Management Information Systems
Volume	14
Issue number	1
DOIs	https://doi.org/10.1145/3576047
Publication status	Published - 31 Jan 2023

Bibliographical note

Funding Information:
Work supported by the European Research Council via Advanced Grants PIX (834141) and WhiteMech (834228).

Funding

Work supported by the European Research Council via Advanced Grants PIX (834141) and WhiteMech (834228).

Funders	Funder number
European Union's Horizon 2020 - Research and Innovation Framework Programme	834141, 834228

Keywords

augmented business process
business automation
Business process management
explainability
trustworthy AI

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Cite this

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title = "AI-augmented Business Process Management Systems: A Research Manifesto",

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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note = "Funding Information: Work supported by the European Research Council via Advanced Grants PIX (834141) and WhiteMech (834228). ",

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AU - Dumas, Marlon

AU - Fournier, Fabiana

AU - Limonad, Lior

AU - Marrella, Andrea

AU - Montali, Marco

AU - Rehse, Jana Rebecca

AU - Accorsi, Rafael

AU - Calvanese, Diego

AU - De Giacomo, Giuseppe

AU - Fahland, Dirk

AU - Gal, Avigdor

AU - La Rosa, Marcello

AU - Völzer, Hagen

AU - Weber, Ingo

N1 - Funding Information: Work supported by the European Research Council via Advanced Grants PIX (834141) and WhiteMech (834228).

PY - 2023/1/31

Y1 - 2023/1/31

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AB - 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.

KW - augmented business process

KW - business automation

KW - Business process management

KW - explainability

KW - trustworthy AI

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ER -

AI-augmented Business Process Management Systems: A Research Manifesto

Abstract

Bibliographical note

Funding

Keywords

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