Using AI inferences to sensitive questions based on limited data within the mortgage industry could easily result in fair servicing violations if they, for example, prompted repeated outreach attempts to borrowers based on protected characteristics, writes the

Mark McArdle advised attendees to remain cautious about the reasons behind implementation of artificial intelligence.

Leaders from Mr. Cooper, Better, Fannie Mae, Freddie Mac, the FHFA and more gathered at the National Mortgage News Digital Mortgage Conference to discuss key strategies for the lower rate environment most expect is ahead.

Ziggy Jonsson, SVP of engineering at Better, talks about the shop's technology and what the future holds for AI innovation.

First Electronic Bank is using technology from Spring Labs to analyze its fintech partners' customer communications and identify problems.

With Tidalwave receiving its first approvals for integrations with automated underwriting systems, its CEO explains why the current environment represents a good opportunity for a new mortgage startup.

Researchers from Lehigh University concluded that telling commercially available language learning models, like ChatGPT, to "use no bias" significantly minimized it.

The industry would benefit from a measured approach that eventually builds in-house expertise without overreliance on vendors, experts said.

If efforts to make AI-based loan decision models less discriminatory degrade accuracy, that is problematic for the entire industry. 

The lender and servicer saw origination volume jump to $6.5 billion as of June 30, up from $3.9 billion the previous quarter.