[AISWorld] Call for Contributions AI4BPM Bridge @ AAAI 2023

[Vatche Isahagian]

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Please accept our apologies if you receive multiple copies of this CFP
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Part of the Thirty-Seventh AAAI Conference on Artificial Intelligence
February 7 - 14 2023 Washington, DC, USA.

Link: https://ai4bpm.com

Business process management (BPM) comprises a spectrum of modeling and
management approaches and tools, including robotic process automation (RPA)
workflow, case and decision management. Recent advancement in Artificial
Intelligence (AI) and the sudden outbreak of COVID pandemic has
significantly accelerated the need for companies to adopt digitization and
automation. According to a recent McKinsey survey, companies have pushed
the time frame for digitizing many aspects of their business by three to
four years. As AI techniques mature and become deployed with the fidelity
and robustness required for enterprise applications, companies are
increasingly looking to consume them as part of their business process and
automation tools.

While there have been grass root efforts in both AI and BPM communities to
explore topics in relation to AI infused business processes, there has not
been a major effort to bridge these two communities together. The AI4BPM
Bridge at AAAI 2023 hopes to bring together academics and industry
professionals working at the intersection of artificial intelligence and
business process management under the same roof. This two day event will
include invited talks, poster sessions, student outreach, meet and mingle
opportunities, hands-on system demonstrations, tutorials, and much more!

The AI4BPM Bridge organizing committee is committed to having a wide
audience participation from both AI and BPM communities. We understand that
many of our attendees are not able to travel to attend conferences in the
USA. Thus the AI4BPM Bridge program will follow a hybrid model of in-person
as well as online attendance. Details on the tools such as video
conferencing, virtual poster, and demo presentation sessions will be
announced in due course.

Stay Connected: Please subscribe to our mailing list at https://ai4bpm.com
to receive updated news and announcements.
Call for Demos, Posters, and Student Contributions

This bridge organizing committee solicits three types of contributions from
both academia and industry on how AI can be applied in BPM contexts as well
as how BPM aspects can have an impact on adapting and tuning AI techniques
to temporal and business dimensions of BPM.


   1.

   Contributed posters: Participants are encouraged to submit 2-page
   abstracts on their work to participate in an extended poster and
   meet-and-greet session. This can be about recently published or ongoing
   work. If applicable, such submissions must indicate clearly when and where
   the corresponding papers have been or will be published.

   2.

   System demonstrations: The poster session will also feature live system
   demonstrations of tools and softwares that are useful to both the AI and
   BPM community. Submissions of this type are also required a 2-page abstract
   but must provide links to GitHub (or equivalent), and description of
   resources on how to access and use the tool. Treat this as a demonstration
   submission to a conference, but specifically on the AI x BPM topic.

   3.

   Student contributions: Students working at the intersection of AI and
   BPM are encouraged to submit 2-page abstracts summarizing their work
   (either in progress or completed). Students will be given an opportunity to
   present their work as posters and will also be paired with mentors for
   dedicated mentoring sessions. Treat this as a doctoral consortium
   submission to a conference, but specifically on the AI x BPM topic.


The type of submission must be clearly indicated in the abstract. All
submissions should be formatted in the AAAI-23 style.

Link to submission:
https://easychair.org/conferences/submission_new?a=29756028

Link to style files:
https://www.aaai.org/Publications/Templates/AnonymousSubmission23.zip
Important Dates

Student contribution submission due: November 18, 2022

Demo and poster submission due: November 18, 2022

AAAI early registration deadline: December 12, 2022

Bridge at AAAI: 7-8 February, 2023
Bridge Topics:

The Bridge will focus on the interaction between AI approaches, especially
agent-based, planning and machine learning approaches, and BPM research
areas and techniques, especially business process modeling, optimization,
automation and process mining. Technical topics include, but are not
limited to:


   -

   Cognitive approaches to Business Process Management
   -

   Agent-based modeling and simulation for BPM
   -

   Knowledge Representation (KR) and reasoning about process specifications
   -

   AI enablement for declarative and hybrid models
   -

   AI-driven modeling and optimization of processes
   -

   Process Mining augmented with AI techniques
   -

   Applications of automated planning techniques for BPM
   -

   Non-traditional AI models and approaches to BPM
   -

   Explainable AI and trustworthy AI for operational support in Process
   Mining and BPM
   -

   Machine Learning to support workflow management
   -

   Recommender Systems for business processes
   -

   Constraint-based reasoning
   -

   Goal and ontology-driven approaches to process management
   -

   Conversational systems, natural language processing, and human-machine
   interaction for business process management
   -

   AI techniques for process discovery, conformance checking, prescriptive
   and predictive monitoring
   -

   AI techniques for clustering and classification of process execution
   traces
   -

   Machine Learning for event recognition on semi-structured and
   unstructured data
   -

   Association rule mining, specification mining, and decision mining from
   process execution traces
   -

   Uncertainty in AI for process management
   -

   Multi-agent systems, strategic reasoning, game theory, and mechanism
   design for multi-party processes
   -

   Multi-objective optimization, decision-making, and continuous improvement
   -

   AI-based robotic process automation (RPA)
   -

   AI-based enrichment of IoT-enabled processes
   -

   Applications of AI for Blockchain-hosted processes
   -

   Applications of AI in industry-specific processes (e.g. retail,
   e-commerce, finance, manufacturing, healthcare)
   -

   Social, economic, and business impacts of infusing AI into business
   processes