Description

An overview of privacy risks across the AI data lifecycle. Exploring profiling, consent, and third-party data brokers, and best practices in financial institutions. As well as an overview of major AI-related regulations including the EU AI Act, GDPR, US Fair Lending laws, and MAS FEAT principles. Covering compliance hurdles like explainability, cross-border governance, and model risk management.

Learning Objectives

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1. Assess privacy and security risks in AI-driven financial applications.
2. Apply best practices for data governance.
3. Interpret global regulatory frameworks.
4. Determine how to remain in compliance with evolving AI-related standards.