The extraordinary development of AI techniques is paving the way towards a new generation of information systems able to “augment” process management, making them more autonomous, adaptive, intelligent, and self-optimizing. These are AI-empowered, trustworthy, and process-aware information systems that continuously reason and act upon data within a set of constraints, with the aim of adapting and improving one or more processes along one or more indicators. To support these sophisticated forms of decision-making, they will need to extract useful insights from the execution logs of ongoing/past process executions, so as to strengthen, integrate, and iteratively revise their domain knowledge. This poses foundational, conceptual, and technical challenges related to the integration of symbolic and sub-symbolic AI techniques, and how to infuse them within process mining. At the same time, delegating autonomy brings pressing requirements on the trustworthiness of such systems, and on their ability to interact with human experts and explain their own behavior.

The first workshop on Process Management in the AI era (PMAI@IJCAI) aims at bringing together researchers from different research disciplines and a strong interest in promoting the synergy between AI and process mining to address the above frontier challenges. It is co-located with the top-notch conference on Artificial Intelligence, IJCAI. We plan a paper submission session with selected peer-review papers and an invited talk session.

Topics of interest for submission include, but are not limited to:

• multi-perspective process models (including data, time, resources)
• declarative processes
• explainable and trustworthy AI for process management and process mining
• conversational systems, natural language processing, and human-machine interaction for process management
• KR for process management: reasoning about actions and processes, planning, and synthesis
• 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
• declarative-based multi-perspective representation of process traces
• novel metrics for the measurement of process conformance
• uncertainty in AI for process management
• multiagent systems, strategic reasoning, game theory, and mechanism design for multi-party processes
• multi-objective optimization, decision-making, and continuous improvement
• value alignment in process management

Submissions must be written in English, prepared using the new CEUR-ART 1-column style, formatted in PDF and submitted through EasyChair. There are two submission formats:

Regular papers

(11-12 pages including an appropriate number of references): must contain enough substance that they can be cited in other publications and may not have appeared before.

Extended Abstracts

(2-4 pages including an appropriate number of references): results and ideas of interest to the PMAI audience, including position papers, system and application descriptions and presentations of preliminary results, overview of papers accepted at another conference or which you submitted or plan to submit to another conference. In the latter case, extended abstracts must clearly state the venue where the paper has been accepted or submitted alongside its status.

For more information, visit https://pmai-ijcai.github.io/.

Important Dates

• Abstract submission (optional): 29 April 2022
• Paper submission deadline: 9 May 2022
• Notification: 3 June 2022
• Camera-ready paper submission: 7 August 2022