The workshop on AI for Financial Crime Fight (AI4FCF) is where the cutting-edge worlds of artificial intelligence and anti-financial crime efforts converge. We invite submissions of original research to push the boundaries of AI applications in detecting, understanding, and preventing financial crimes, including fraud, money laundering, and terrorism financing.

Paper submissions should follow the IEEE 2-column format (https://www.ieee.org/conferences/publishing/templates.html). You can submit your work to either of the two tracks:
- Full paper track: up to 8 pages, with an option for 2 additional pages for peer review. This generally includes papers introducing novel techniques or in-depth case studies.
- Short paper track: up to 4 pages, with an option for 1 additional page for peer review. This generally includes dataset papers, papers highlighting novel aspects of AI-based anti-financial crimes, or preliminary/work-in-progress results.

All accepted papers will be published in the ICDMW proceedings by the IEEE Computer Society Press.

## Relevant Topics

The workshop invites contributions addressing, but not limited to, the following topics:
- Machine Learning for Anomaly Detection: Novel approaches in machine learning for detecting anomalies and irregularities in financial transactions; Ensemble methods and hybrid models for enhancing anomaly detection performance; Evaluation metrics for assessing the performance of anomaly detection systems in financial contexts; Open benchmarks and datasets for validating anomaly detection techniques in the context of financial crimes.
- Explainable AI in Financial Crime Models: Techniques and methodologies to enhance AI models’ interpretability in financial crime detection; Case studies and applications demonstrate the importance of model interpretability in real-world financial settings; Frameworks for balancing model transparency with effective detection capabilities.
- Privacy-Preserving Techniques in Transaction Analysis: Privacy-preserving anonymization algorithms and protocols for analyzing financial transactions without compromising individual privacy; Regulatory considerations and compliance strategies for implementing privacy-preserving approaches in financial institutions.
- Real-World Implementation Challenges and Solutions: Case studies highlighting challenges faced during the real-world implementation of AI solutions in financial crime detection. Strategies for overcoming scalability and deployment challenges in different financial environments; Collaborative efforts between academia, industry, and regulatory bodies to address practical issues in implementing AI systems for financial crime prevention.

## Important Dates

- Submission deadline: August 29, 2025, 23:59 AoE
- Notification of Acceptance: September 15, 2025
- Camera-Ready Deadline: September 25, 2025
- Workshop: November 12, 2025

## Official Policy

1. A paid registration is required for every accepted workshop paper, regardless of whether the author presents in person or via video.
2. All accepted papers must have at least one registered author.
3. Non-archival submissions for workshops are not allowed, i.e., all accepted papers will be included and published in the proceedings.

## Other Information

More details are on the workshop website: https://sites.google.com/view/ai4fcf/

For any inquiries, feel free to get in touch with the workshop organizers
- Nikhil Jha (nikhil.jha@polito.it)
- Flavio Giobergia (flavio.giobergia@polito.it)
- Rosa Meo (rosa.meo@unito.it)
- Roberto Nai (roberto.nai@unito.it)
- Giulia Preti (giulia.preti@centai.eu)
- Andre' Panisson (panisson@centai.eu)