Generative AI is a powerful tool for a multitude of activities, and prototypes implementing GenAI in process analyses have been recently proposed by industry and academia. However, while basic use cases are being covered, more advanced and systematic studies need to be discussed. Moreover, while prototypes have been implemented, their effectiveness in terms of improving a company’s KPI was marginally discussed.

This workshop wants to discuss novel results, methodologies, and case studies on the topic of GenAI in process mining. The discussion is open to short, medium, and long-term goals.

This workshop aims to connect companies willing to implement GenAI in the analysis, improvement and execution of their business processes with researchers and organizations prototyping and implementing such integration. Also, we aim to propose and stimulate the integration of GenAI with other advanced technologies (blockchain, RPA, BPM systems).

We aim to receive submissions of different types:

* Full papers (up to 12 pages) illustrating novel research methodologies or case studies performed in industry.
* Implementation papers (up to 6 pages) illustrating a tool or implementation of GenAI in the context of process mining.
* Visionary papers (up to 4 pages) discussing the future steps of GenAI4PM.

Full research papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). Due to editorial requirements, we are expected to have an acceptance rate for papers published in LNBIP of not more than 50%.


We aim to accept papers targeting GenAI for process mining, including but not limited to:
* Process mining tasks implemented with GenAI.
* Process modeling using GenAI (procedural, declarative, mixed).
* Robotic process automation using GenAI.
* Integration of GenAI in existing or new PM tools (UI/UX, VR).
* Implementation strategies and challenges for GenAI4PM in organizations.
* Impact of generative AI on process transformation and improvement.
* Process hypothesis generation using GenAI.
* Shift in skills for process analysts given GenAI4PM.
* Case studies of GenAI in process mining/improvement.
* Impact estimations of GenAI in process improvement.
* Embedding of organizational information on GenAI4PM.
* Benchmarks and evaluation frameworks on GenAI4PM.
* Required capabilities for GenAI4PM (vision, text-to-SQL, KBs, …).
* ETL techniques based on generative AI.
* Quality frameworks for event logs based on generative AI.
* Applications of Retrieval-Augmented Generation in Process Mining
* Generalization and counterfactual reasoning based on generative AI.
* Connection of GenAI4PM to other relevant technologies (blockchains, quantum computers).

The submissions to the workshop should be made via Easychair: https://easychair.org/conferences/?conf=icpm2024