Bias, Fairness, and Responsible AI in Finance

This course focuses on identifying and mitigating bias in financial AI models, ensuring fairness, and maintaining responsibility in the development of AI systems. Students will explore model auditing techniques, drift detection, and the integration of explainability into credit and investment models. The course also covers the establishment of ethics committees and alignment with global standards like the AI Act and ISO IEC 42001.

Learning Objectives

Students will learn to audit AI models, detect and mitigate biases, and align financial AI systems with ethical standards and global regulations.