AI vs. The Human Element: Balancing Trust and Technology
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AI vs. The Human Element: Balancing Trust and Technology
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After a week of AI conferences, vendor demos, and big promises, Chris Grimes and Reuven Gorsht are asking the questions lenders actually need answered.
In this episode of The Signal Podcast, Chris and Reuven compare notes from the HousingWire AI Mortgage Summit and the TMC event, where AI tools were everywhere — but clear answers were harder to find. Across demos and conversations, three questions kept coming up: which model is powering the tool, how can compliance explain it to an examiner, and can a lender train it on their own data?
The conversation moves from borrower trust and chatbot adoption to model risk, vendor due diligence, and the uncomfortable reality that traditional software assessment may not work when an AI vendor can change models overnight.
In this episode- Why borrower trust in AI may be falling even as AI investment rises
- What lenders should ask before signing an AI vendor contract
- Why point-in-time vendor questionnaires are breaking down
- How compliance teams should think about explainability and model changes
- Where AI works best when scoped narrowly
- Why convenience often beats cost in consumer adoption
- What early adopters risk — and what they may gain