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Dissertation 4.6

Explainable AI and Data Quality And Bias among Retail Banks — A Comparative Perspective

15
Pages
Harvard
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~ 15–23 mins
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Supply Chain InsurTech RPA
Abstract

This dissertation investigates “Explainable AI and Data Quality And Bias among Retail Banks — A Comparative Perspective” using a social network analysis. Through a behavioral lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Explainable AI and Data Quality And Bias among Retail Banks — A Comparative Perspective

ABSTRACT
Explainable AI and Data Quality And Bias among Retail Banks — A Comparative Perspective is unpacked across themes: scalability, equity, usability, and risks. Limitations and future research paths are noted.
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