Teaching and Training at the AI-2-TRACE-CRIME Centre

The Jean Monnet Centre of Excellence AI-2-TRACE-CRIME is committed to building expertise in the responsible use of AI for asset recovery, anti-money laundering (AML), and crime prevention. Our teaching and training programs are designed for students, professionals, and policymakers to develop the critical skills and knowledge needed to navigate the intersection of AI, law, and security.

See our training handbook here.

Core Offerings

1. Academic Courses and Modules: The Centre offers specialized modules integrated into NUP’s undergraduate and graduate programs. These courses explore the ethical, legal, and technical dimensions of AI, with a focus on AML, asset recovery, and crime prevention. Through interdisciplinary teaching, students gain a comprehensive understanding of AI’s applications in financial and legal contexts, equipping them to address the evolving challenges in these fields.

2. Massive Open Online Course (MOOC):  Our MOOC is an interactive educational resource designed for a wide audience. This open online course provides an in-depth overview of responsible AI use in AML and crime prevention, covering topics from regulatory frameworks to AI ethics and cybersecurity. Open to all, the MOOC allows participants to learn at their own pace while engaging with up-to-date case studies and real-world applications.

3. Executive Training Programs and Bootcamps: Targeted at professionals from diverse sectors—including law, IT, compliance, and finance—our intensive Executive Training Programs and Bootcamps focus on practical applications of AI in AML and crime prevention. These programs are held annually and are tailored to enhance the participants’ skills in AI-driven crime detection, compliance monitoring, and asset recovery techniques. Attendees gain hands-on experience with AI tools and participate in case-based learning to bridge the gap between theory and practice.

4. Workshops and Public Debates:  The Centre hosts a series of workshops and public debates to foster dialogue on the societal implications of AI and its role in crime prevention. These events are open to students, researchers, professionals, and the general public. Workshop sessions focus on recent developments in AI law and technology, while public debates address the ethical and policy challenges in using AI responsibly in financial and criminal justice sectors.