Workshop on
AI for Financial Crime Fight 

Topics

The workshop invites contributions addressing, but not limited to, the following topics:

Machine Learning for Anomaly Detection

• Novel algorithms and 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.

• Definition of 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 model interpretability’s importance 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 highlight 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 bod- ies to address practical issues in implementing AI systems for financial crime prevention.

Instructions for submissions

All submissions should follow the IEEE 2-column format. 

You can submit your works to either of 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 that highlight novel aspects of the field of AI-based anti-financial crimes, or preliminary/work-in-progress results. 

In line with ICDM's tradition, all accepted papers will be published in the ICDMW proceedings by the IEEE Computer Society Press.

Paper submission site  🆕

Click here to submit your paper to AI4CF.

Paper Submission Deadline: September 10, 2024 (AoE)