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Dissertation 4.3

Explainable AI and Adoption Barriers among Insurance Underwriters — A benchmarking and maturity modeling

26
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Harvard
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~ 27–39 mins
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DevSecOps HCI DEI
Abstract

This dissertation investigates “Explainable AI and Adoption Barriers among Insurance Underwriters — A benchmarking and maturity modeling” using a qualitative grounded theory. Through a institutional lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Explainable AI and Adoption Barriers among Insurance Underwriters — A benchmarking and maturity modeling

ABSTRACT
Explainable AI and Adoption Barriers among Insurance Underwriters — A benchmarking and maturity modeling is unpacked across themes: costs, security, benefits, and change enablement. Limitations and future research paths are noted.
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