Explainable and Responsible AI for Finance

In financial services companies (e.g. banks & other lenders and insurance companies), members from underwriting, account management, policy management, claims administration, fraud detection, and customer experience management teams frequently develop and/or use AI & ML models to make decisions. However, the black-box nature of some of these algorithms, which produce outcomes without explanation, has slowed their widespread adoption. This course is intended to enable participants who use AI & ML algorithms in their decision-making process to communicate effectively to regulators or any other relevant audience. It is also becoming increasingly important to ensure that any AI & ML models used in decision making to extend credit to the customers, follow the principles of fairness, ethics, accountability, explainability, privacy, security, and governance. These principles are being analysed through the lens of Responsible AI. This course is part of the Data Science series offered by NUS-ISS.