Change Management in Explainable AI for Insurance Underwriters: Post-Pandemic Lessons

Policy Brief 4.3

Change Management in Explainable AI for Insurance Underwriters: Post-Pandemic Lessons

Pages

Chicago

Style

~ 10–17 mins

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CV RPA DEI

Abstract

This policy brief investigates “Change Management in Explainable AI for Insurance Underwriters: Post-Pandemic Lessons” using a mixed-methods case study. Through a behavioral lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Change Management in Explainable AI for Insurance Underwriters: Post-Pandemic Lessons

ABSTRACT

Change Management in Explainable AI for Insurance Underwriters: Post-Pandemic Lessons is unpacked across themes: ethics, costs, equity, and usability. Limitations and future research paths are noted.

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