AI/ML has been widely used in consumer-based industries, such as insurance, banking and health care. As insurance companies embrace the innovative technologies through developing and implementing AI/ML models, model risk exposure increases due to the elevated complexity and opacity of these models. Through sound model risk management (MRM) practices, appropriate methods can be used to solve issues related to explainability and interpretability of AI/ML models, which instrumently facilitates mitigation solutions on other risks.
By attending the session, you will be able to:
- Apply effective and efficient explainability and interpretability approaches in their AI/ML model development and validation.
TRACK: Cultivating future opportunities