“We then collected those corrections and then basically fed them back into the training data, retrained the models. They then got better.”

The Leadership in Insurance Podcast - Insurtech & Innovation · Alex Ley, Scrub AI: Specialist AI, Human Judgment and the Future of Underwriting

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What was described

Collected user corrections on model outputs, fed them back into training data to retrain models, creating a feedback loop that improves accuracy

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