CSRSA General Session: Explainable AI in Credit Decisioning

Topic: Explainable AI in Credit Decisioning

Presenter: Bill Johnston, Equifax Canada

AI has become an industry buzzword with more promise than results.  Organizations continue to invest heavily in data science, but returns to date have been weak.  The application of machine learning and the need for explainability represents one of the barriers to realizing value from  Big Data investments.  This session will highlight the need for explainability and identify some of the regulatory frameworks that will enforce transparency going forward.  The discussion will introduce the audience to some of the methodologies that Equifax has developed to manage explainability including the first patented, regulatory compliant credit scoring methodology, Neuro Decision Technology.

Bill Johnston is the VP Data & Analytics at Equifax Canada. With more than 20 years leading Data & Analytics teams in Credit Risk, Marketing and Loyalty Management, Bill specializes in presenting complex analytical solutions through meaningful business stories to address customer’s true business needs. Bill has experience implementing an Analytical Centre of Excellence for Canada Post, and leading analytics teams at Chase Credit Card Services and Citi Credit Cards. Bill holds a MA in Economics from the University of Guelph.

Location: Vantage Venues (formerly The St. Andrew's Club)

150 King St, West - 27th floor, Toronto, ON, M5H 1J9

8:30 am - 9:15 am - Continental Breakfast & Networking
9:15 am - 10:30 am – Presentation and Q&A

Paid Member Price: Free

Non-Paid Member Price: $50

Register