At the International Conference on Advanced Information Systems Engineering (CAiSE 2026)
in Verone, Italy, June 8-12, 2026
Session 1 (14:00-15:30) - Artigianato Room:
14:00-14:05 Welcome
14:05-15:00: Keynote by Emilio Sulis: From Regulatory Texts to Executable Compliance: Bridging Legal Knowledge and Process Intelligence (see details below)
15:00-15:30: Interactive discussion
Session 2 (16:00-18:00) - Artigianato Room:
16:00-16:30 (full paper): Konstantinos Varvoutas, Julian Neuberger and Hugo Lopez. A Neuro-symbolic Framework for Compliance Management with Declarative Models
16:30-16:50 (vision paper): Simone Agostinelli, Glenda Hannibal, Artur Modliński and Aleksandre Asatiani. Trustworthy Robotic Process Automation: Challenges and Emerging Research Directions
16:50-17:10 (vision paper): Francesca De Luzi, Giulia Ricci and Massimo Mecella. Detecting Gender Patterns in Programming Datasets: Towards Compliance and AI Governance
17:10-17:40 (full paper): Ijeoma Faustina Ekeh, Raimundas Matulevicius, Abasi-Amefon Affia-Jomants and Mihhail Karagjaur. From Architecture to Compliance: A Model-Driven Assessment of AI systems
17:40-18:00: Wrap-up and closing
Abstract:
The increasing availability of regulatory and institutional data is opening new opportunities for Artificial Intelligence applications in the legal domain. However, transforming normative and procedural knowledge into operational, machine-interpretable models remains a major challenge. Legal and regulatory texts are often characterized by ambiguity, heterogeneity, and strong contextual dependencies, making the transition from textual regulations to executable compliance frameworks a complex interdisciplinary problem. This keynote discusses current challenges and research directions at the intersection of AI, Natural Language Processing, process mining, and Legal Informatics, focusing on how computational methods can support the extraction, representation, and operationalization of regulatory knowledge. Particular attention will be devoted to the integration of textual analysis with process-oriented approaches for modeling institutional and judicial procedures. The talk will also present a case study on European Judicial Workflows, highlighting how AI techniques can be employed to analyze procedural structures, identify compliance constraints, and support the understanding and harmonization of judicial processes across different legal systems.
Short Bio:
Emilio Sulis is a researcher at the Computer Science Department of the University of Torino. His research lies at the intersection of Artificial Intelligence, Natural Language Processing, and process-oriented data science, with a particular focus on Legal Informatics and AI applications for the legal domain. His work explores computational analysis of legal texts, legal knowledge representation, and the use of NLP, Social Network Analysis, and machine learning techniques to support legal reasoning and harmonization of laws. He has published in leading international journals and conferences and co-authored the Springer book Agent-Based Business Process Simulation. He has been actively involved in the international scientific community as organizer and PC member of conferences and workshops, and has served as guest editor for journals including Computer Law & Security Review and Information Systems.
The 2nd Workshop on Compliance in the Era of Artificial Intelligence (CAI) explores the evolving role of compliance in business processes and information systems. As organizations face stringent regulatory requirements, such as GDPR, SOX, AML, and ISO standards, compliance is increasingly vital to operational strategy, helping organizations to avoid penalties, protect reputations, and remain competitive.
In addition to traditional methods like control definition, risk assessment, compliance monitoring and reporting, CAI focuses on how emerging technologies, particularly Artificial Intelligence (AI) and Large Language Models (LLMs), can transform compliance management. These tools can automate repetitive tasks, process large datasets, enhance risk detection, and ensure real-time alignment with regulations, offering a more efficient and scalable approach.
The objective of CAI is to introduce new concepts and techniques for managing compliance in sectors like process management, healthcare, and law. It also aims to address real-world challenges and explore how AI can improve decision-making and strengthen compliance processes across various domains.
Topics of interest include, but are not limited to:
Key principles and frameworks for effective compliance
Innovative approaches to compliance across various domains
Methods for identifying and mitigating compliance risks
AI applications for automating compliance processes
Using LLMs to analyze complex regulatory texts
Predictive compliance monitoring
Root-cause analysis of compliance issues
Reporting and visualizing compliance issues
Best practices for compliance in business processes
Techniques for managing data privacy compliance
Case studies of successful compliance implementations and challenges
We invite authors to submit the following types of papers:
Regular papers (up to 12 pages, LNBIP format): Specific techniques and case studies related to the workshop's topics. Depending on the number of submissions, regular papers will be either published as LNBIP or CEUR proceedings. In the latter case, we ask authors upon submission of the camera-ready version to change the format accordingly.
Idea and vision papers (6 pages, LNBIP format): New research directions, ongoing projects or bold visions of new challenges at the intersection of compliance management, AI, and LLMs.
Application and use case papers (6 pages, LNBIP format): Novel applications, including tool demos, and use cases of AI and LLMs for automating compliance management.
Authors of accepted papers (independent of their type) are asked to present and discuss their work at the workshop. Apart from presentations and discussions of accepted papers, the organizers aim to have a plenary discussion. The input from accepted papers as well as the discussion phase is planned to be used in a joint position paper.
Papers must be submitted electronically in PDF format via the CAISE 2026 EasyChair submission site by selecting "2nd Workshop on Compliance in the Era of Artificial Intelligence".
Full paper submissions: March 8th, 2026 March 14th, 2026 (extended)
Notification of acceptance: March 31st, 2026
Camera ready: April 6th, 2026
Workshops: June 8th-9th, 2026
Cristina Cabanillas, University of Seville, Spain
Andrea Marrella, Sapienza University of Rome, Italy
Monica Palmirani, University of Bologna, Italy
Manuel Resinas, University of Seville, Spain
Karolin Winter, Technical University of Eindhoven, The Netherlands
Simone Agostinelli, Sapienza University of Rome
Matteo Cristani, University of Verona
Walid Fdhila, University of Vienna
Pablo Fernandez, University of Seville
Chiara Di Francescomarino, University of Trento
Laura Genga, Eindhoven University of Technology
Guido Governatori, Central Queensland University
Hugo A. López, University of Copenhagen
Raimundas Matulevicius, University of Tartu
Marco Montali, Free University of Bozen-Bolzano
Roberto Nai, University of Turin
Luise Pufahl, TU Munich
Jana-Rebecca Rehse, University of Mannheim
Manfred Reichert, University of Ulm
Emilio Sulis, University of Turin