AI4BPM Bridge at AAAI 2023 Call for Contributions
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 the 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 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.
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.
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.
System demonstrations: The poster session will also feature live system demonstrations of tools and software that are useful to both the AI and BPM communities. Submissions of this type are also required a 2-page abstract but must provide links to GitHub (or equivalent), and a 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.
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
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
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