Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)
Abstract
Prescriptive Process Monitoring (PrPM) systems recommend interventions in ongoing business process cases to improve performance. However, performance gains only materialize if users follow the recommendations. Prior research has shown that users are more likely to follow recommendations when they understand them. In this paper, we explore the use of Large Language Models (LLMs) to generate explanations for PrPM recommendations. We developed a prompting method based on typical user questions and integrated it into an existing PrPM system. Our evaluation indicates that LLMs can help users of PrPM systems to better understand the recommendations. The results indicate that LLMs can help users of PrPM systems to better understand the recommendations, and to produce recommendations that have sufficient detail and fulfill their expectations. However, the explanations fall short in addressing the underlying "why" and do not always support users in assessing the trustworthiness of the recommendations.
Cite
Text
Kubrak et al. "Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2025. doi:10.24963/IJCAI.2025/1213Markdown
[Kubrak et al. "Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2025.](https://mlanthology.org/ijcai/2025/kubrak2025ijcai-explanatory/) doi:10.24963/IJCAI.2025/1213BibTeX
@inproceedings{kubrak2025ijcai-explanatory,
title = {{Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)}},
author = {Kubrak, Kateryna and Botchorishvili, Lana and Milani, Fredrik and Nolte, Alexander and Dumas, Marlon},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2025},
pages = {10901-10905},
doi = {10.24963/IJCAI.2025/1213},
url = {https://mlanthology.org/ijcai/2025/kubrak2025ijcai-explanatory/}
}