- Joined
- Jun 27, 2017
- Professional Status
- Certified General Appraiser
- State
- California
April I believe. If it works as they claim, it will be superior to others.
I have no idea why the GSEs are willing to trust AI filling out a form based on wildly inaccurate and random MLS data, or lidar sketches that are typically 5-10% incorrect, but if that's what they want, that's what they'll get.
You have to understand the nuances, ref. AO-41: If you document your prompt to AI (i.e. your request for info) the exact response, THEN it is supposedly considered nothing more than data. That is to say as long as you have documented your exact request and the exact response, there is nothing per se wrong with using AI responses. HOWEVER, whether the appraiser should accept that data is wholly on the appraiser. If the AI system misunderstands the context of the question or simply misunderstands the context for some other reason (prior questions) or is simply incorrect, then that is something that is the responsibility of the appraiser to catch.
So subtle it is: If you get a response from AI that supports your existing value conclusion, you can certainly mention that in the report as support. But, understand, it would be reckless to depend on that "data" for a given value conclusion if that is all you have for support.
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A smarter move is to run MARS or GLMNET regression on a data set, provide the parameters (with some reasoning) and permanently store a copy of the data used as an excel or sqlite file, as well as the script, so that if pulled before the board or you wind up in court, you can rerun the regression to prove the model you used was objectively obtained. That would do a very good job of protecting you from an accusation of bias or incompetence.
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Again, a subtle point: As long as it is well-documented, there is nothing wrong with using AI responses to add support to your value conclusion, but you can't just blindly accept the results on no other basis.