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Essay 4.3

Human-Computer Interaction for Insurance Underwriters: Data Quality And Bias | Evidence from UK & Ireland

24
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IEEE
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~ 25–35 mins
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Supply Chain MLOps Data Privacy
Abstract

This essay investigates “Human-Computer Interaction for Insurance Underwriters: Data Quality And Bias | Evidence from UK & Ireland” using a event study methodology. Through a behavioral lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Human-Computer Interaction for Insurance Underwriters: Data Quality And Bias | Evidence from UK & Ireland

ABSTRACT
Human-Computer Interaction for Insurance Underwriters: Data Quality And Bias | Evidence from UK & Ireland is unpacked across themes: scalability, benefits, interoperability, and equity. Limitations and future research paths are noted.
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