Call for Papers
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. We invite you to submit original papers to be considered for inclusion in the workshop. This year the workshop will be further enriched with an interesting panel allowing for discussing the most recent challenges across the two fields.
Topics of interest
This workshop encourages papers describing original research and industrial experiences that explore how AI can be applied in BPM contexts. The workshop takes a broad view of both AI and BPM.
The workshop is interested in applications of AI for BPM, ranging from improvements on traditional approaches to BPM to fundamental transformations in how business operates. This may include (but is not limited to) the following topics:
Machine Learning, including Deep Learning, to support workflow management
Process Mining augmented with AI techniques
Neuro-symbolic approaches for Business Process Management
Natural Language Processing in Business Process Management
Recommender Systems for business processes
Automation of exception handling
Agent-Based Modeling and Simulation for BPM
Virtual Assistants to simplify interaction with processes
Goal-driven approaches to process management
Knowledge Representation, management and reasoning on process specifications
AI technology for BPM-related standards such as BPMN, CMMN and DMN
Application of AI to (Data-Driven) BPM
AI-based robotic process automation
AI-driven modeling and optimization of business processes
AI enablement for declarative and hybrid models
AI-based enrichment of IoT-enabled processes
Applications of Automated Planning techniques for BPM
Applications of AI for Blockchain-hosted processes
Applications of AI in industry-specific business processes (retail, e-commerce, finance, manufacturing, healthcare)
Non-traditional models and approaches to BPM that leverage AI
Social, economic, and business impacts of infusing AI into BPM
Since the research area of AI for BPM is in its infancy, we especially encourage submissions that explore totally new directions, which step outside of the areas listed above.
The call for papers of the workshop is aligned with the call for papers of BPI. AI4BPM continues its well-established lineage of dissemination of AI (e.g., machine and deep learning, knowledge representation, planning, reasoning, NLP, causality) applied to Business Process Management tasks or vice versa. We strongly encourage submitting papers on classical process mining, e.g., process discovery, conformance checking, visualization, to the BPI workshop.
Submissions: type and content
The activities of the workshop will include presentations of scientific papers and experience reports, and also discussion sessions. We solicit three kinds of submission:
Research papers, up to 12 pages, describing original and novel research work, including research results and evaluations. Research papers should not have been published or submitted for publication concurrently elsewhere.
Experience papers, up to 12 pages, describing experiences with the novel application of AI techniques to BPM. Such papers should include clear descriptions of the motivations underlying the use of AI for BPM, the value obtained through the use of AI, and the challenges that needed to be overcome. Experience papers should not have been published or submitted for publication concurrently elsewhere.
Papers should be written in English, following Springer LNCS style - including all text, references, appendices, and figures. For formatting instructions and templates, see the Springer Web page: http://www.springer.de/comp/lncs/authors.html. Submitted papers will be evaluated by at least three members of the AI4BPM international Program Committee. The workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). According to Springer's policy, the acceptance rate will be lower than or at most equal to 50%. For inclusion in the workshop proceedings, at least one author per accepted paper must register and participate in the workshop. Depending on the quality of the submissions, we also consider publishing long versions of the papers in a journal Special Issue.
Submissions should be made through the AI4BPM submission page by selecting the option "7th International Workshop on Artificial Intelligence for Business Process Management".
Workshop abstract and papers submission deadline: June 10, 2023 AoE
Workshop papers notification deadline: June 30, 2023
Workshop camera-ready papers deadline: July 14, 2023
Workshop: September 11, 2023