M. Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, M. Montali, Jana-Rebecca Rehse, R. Accorsi, D. Calvanese, Giuseppe De Giacomo, Dirk Fahland, A. Gal, M. Rosa, Hagen Volzer, I. Weber
{"title":"AI-augmented Business Process Management Systems: A Research Manifesto","authors":"M. Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, M. Montali, Jana-Rebecca Rehse, R. Accorsi, D. Calvanese, Giuseppe De Giacomo, Dirk Fahland, A. Gal, M. Rosa, Hagen Volzer, I. Weber","doi":"10.1145/3576047","DOIUrl":null,"url":null,"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.","PeriodicalId":45274,"journal":{"name":"ACM Transactions on Management Information Systems","volume":"14 1","pages":"1 - 19"},"PeriodicalIF":2.5000,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Management Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3576047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 24
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.