Why it is Challenging and Essential to Strive for Explainability in AI

‘Stop, drop and roll’: A guide for bank and fintech partnerships

How Fintechs and Banks can Thrive in a New Regulatory Era 

AI Adoption: Balancing Competition with Public Interest 

When Your AI Helper Has a Mind of Its Own 

Case Study: Stratyfy’s AI Enables Better Credit Decisions and Portfolio Growth

AI/ML and Equity in Lending

Creating More Equitable Lending with ML: Founder Feature with Laura Kornhauser of Stratyfy

When Rules are Meant to Be Broken: Innovation in Finance

How Stratyfy Empowers Mid-Sized Lenders to Compete with Big Banks

Inside FIS’ use of AI to Identify False-Positive Card Fraud Alerts

57 Questions Financial Institutions Should Ask About AI

Transparency, Explainability, and Interpretability in AI/ML Credit Underwriting Models

AI: The Next Frontier for Community Banks

How Wall Street Firms Are Warming to AI—With Help From Silicon Valley

How to Break the Cycle of Data Bias in AI

Inside Stratyfy’s partnership with Underwriting for Racial Justice

Banks, credit unions join in push for racially equitable underwriting