Fair lending and AI credit models: how to defend one
AI credit models score applications in seconds and can approve borrowers a human officer would skip, but they can also rebuild race from proxies like zip code, college name or phone carrier. This episode takes the position that the risk is not the automation itself, it is the failure to test and document. A negligent model is worse than a biased human; a disciplined one is better and provable.
You will learn the difference between disparate treatment and disparate impact, how a less discriminatory alternative search creates a legal defense, what belongs in a model risk file to meet the…
The skinny
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