Verisk boss urges testing of AI data to avoid discrimination and bias

L to R: Samantha Vaughan and Nutan Rajguru Verisk, Insurance Conference 2024

Verisk’s head of analytics for underwriting solutions has told the industry to use broad and representative data sets to avoid “disparate outcomes and unfair discrimination” when developing AI models.

At the Ethical Use of Artificial Intelligence in Claims and Underwriting panel at yesterday’s Verisk Insurance Conference 2024, Rajguru said the firm first ensures the data set for each model is broad

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