Charmian Simmons, FinCrime & Compliance Expert at SymphonyAI, talks about regulations of AI and how this affects compliance, fraud risk, and digital transformation in financial services
From the EU’s AI Act and AMLA to emerging market standards in Singapore and Canada, Charmian breaks down the mindsets of policymakers that are shaping the future of AI oversight. Learn more about opportunity and risk, and the steps that financial institutions can take to stay aligned, scalable, and audit-ready.
Topics covered:
Global pulse on AI regulation:
- Overview of competing global AI leaders like US, China, and the UK
- The contrast between countries choosing innovation or regulation
- The EU leading the way in legislation via the EU AI Act
Regional regulatory developments:
- Principles-based vs. rules-based AI governance models
- Regulatory strategies in Southeast Asia and Australia, Italy, and Canada
- Emerging US efforts at state level and executive initiatives
Regulatory responses in financial crime:
- Varying levels of regulatory AI adoption in financial services globally
- How financial regulators are engaging with AI use cases around the world
- Trends in proactive validation and auditability for AI-driven decision systems
AI risk and adoption frameworks:
- A maturity model for responsible AI integration
- Best practices in data readiness, model governance, and outcome management
- Real-world examples in Spain and Australia
Building trust through transparency:
- How RegTechs are helping bridge the trust gap
- Role of education, co-creation, and transparent model design
- Importance of responsible AI (traceability, explainability, and human control)
Related resources:
How to practice responsible AI in financial services: Understand how best to begin using AI and how to remain compliant with regulations
A phased strategy for AI integration in financial crime compliance: Advice on how best to integrate AI into financial processes
Agentic AI: An introduction to autonomous agents for smarter compliance
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