Case Study
⭐ 4.9
Adoption Barriers in Explainable AI for Insurance Underwriters: Post-Pandemic Lessons
Abstract
This case study investigates “Adoption Barriers in Explainable AI for Insurance Underwriters: Post-Pandemic Lessons” using a time-series forecasting. Through a economic lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.