AI Model Evaluation in High-Risk Banking

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. This course offers a comprehensive understanding of evaluating AI models in high-risk banking contexts, covering crucial aspects of AI model assessment such as explainability, bias detection, continuous monitoring, and regulatory compliance. Explore AI opportunities and challenges in banking, fundamentals of model risk management, the importance of AI explainability, and techniques to enhance model interpretability. Discover how to implement bias awareness throughout the AI lifecycle, from data collection to deployment, and outline the significance of continuous monitoring. Next, learn about the techniques for model validation, such as backtesting and sensitivity analysis. Finally, dive into the regulatory landscape, examining AI-specific regulations and best practices for compliance. By the end of the course, learners will gain practical skills in identifying and mitigating risks associated with AI deployment in banking, ensuring responsible use of AI technologies in critical financial decision-making processes.