AI in Risk and Compliance
This course builds the knowledge required to strengthen risk management and regulatory compliance through practical AI application. It covers support for fraud detection, transaction monitoring, and large scale data analysis, while emphasizing governance, transparency, and accountability within risk and compliance functions.


Learning Objectives
By the end of this course, participants will be able to:
- Understand how AI enhances risk identification, monitoring, and mitigation.
- Recognize AI applications in fraud detection, AML, and suspicious activity monitoring.
- Explain how natural language processing can support regulatory reporting and compliance checks.
- Evaluate the benefits and limitations of AI-powered surveillance tools.
- Explore case studies of how AI has prevented financial crime and operational losses.
- Understand the regulatory expectations around AI transparency and explainability.
- Assess risks associated with bias, data privacy, and ethical AI usage.
- Identify controls and frameworks to govern AI use within compliance functions.
- Explore how regulators themselves are using AI for oversight.
- Recommend practical steps to integrate AI responsibly into risk and compliance workflows.
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