|
Harness the power of Artificial Intelligence while understanding, governing and managing the risks it introduces. Learn practical techniques that can immediately enhance your effectiveness as a risk professional.
The workshop also explores the governance, regulatory and ethical dimensions of AI. Participants will examine emerging regulatory frameworks, AI governance principles, model risk, cyber security considerations, data privacy, bias and the importance of human oversight. Through real-world case studies, the course illustrates both successful AI adoption and notable failures, helping participants understand how to implement AI safely and responsibly within their own organizations.
Designed as a highly interactive program, the workshop incorporates live demonstrations, practical exercises, and group discussions throughout both days. Rather than focusing solely on theory, participants will work with AI tools to solve realistic business and risk management challenges, leaving with practical techniques, governance insights, and a clear understanding of how AI can enhance both individual productivity and organizational resilience.
What sets this apart:
- Focused exclusively on risk management use cases — credit, market, operational & fraud
- Real-world scenarios and demo sessions using free / no-code AI tools you can apply immediately
- A practical “AI in Risk” toolkit: templates, policies, and an executable roadmap
- Interactive cohort format: small groups, peer discussion, live Q&A — not just lectures
- Governance and ethical frameworks built-in: how to deploy AI responsibly in regulated environments
Key takeaways:
By the end of this workshop, you will:
- Understand how to map AI opportunities across risk domains and prioritize them for your organization
- Be able to select and apply accessible AI tools (no coding required) to real-life risk challenges
- Have built a risk-AI roadmap for your function including business case, governance, model validation and implementation steps
- Know how to design and launch AI-enabled controls for fraud, operational loss, stress-testing and compliance
- Be prepared to communicate effectively with senior management and regulators about AI in risk
Day 1 – AI Foundations and Practical Applications
- Introduction to Artificial Intelligence: Understanding AI, Machine Learning, and Generative AI
- AI Tools for Risk Professionals: Practical applications for research, analysis and reporting
- Prompt Engineering and Live Demonstrations: Writing effective prompts and getting better AI results
- Understanding AI Risks: Hallucinations, bias, privacy, cybersecurity, and model risk
- AI Governance: Principles for the responsible and effective use of AI
Day 2 – AI Risk Management in Practice
- AI Regulation and Emerging Standards: Key regulatory and governance developments
- AI Across the Three Lines of Defense: Applications in risk, compliance, audit, and financial crime
- Managing AI Risk: Governance, controls, monitoring and third-party AI
- The Future of AI: AI agents, emerging technologies and preparing your organization
Both Days - Practical AI Workshops: Hands-on exercises using AI to solve real-world risk challenges
|