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Data Quality And Bias in Explainable AI for Retail Banks: A propensity score matching

• Psychology
• Climate
• Cybersecurity

Abstract

This essay investigates “Data Quality And Bias in Explainable AI for Retail Banks: A propensity score matching” using a propensity score matching. Through a socio-technical lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.