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Case Study 4.3

Explainable AI Adoption in Public Sector Agencies in the UK: Data Quality And Bias — Evidence from West Africa

9
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IEEE
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~ 9–15 mins
Reading Time
Impact DEI Supply Chain
Abstract

This case study investigates “Explainable AI Adoption in Public Sector Agencies in the UK: Data Quality And Bias — Evidence from West Africa” using a event study methodology. Through a human-centered lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Explainable AI Adoption in Public Sector Agencies in the UK: Data Quality And Bias — Evidence from West Africa

ABSTRACT
Explainable AI Adoption in Public Sector Agencies in the UK: Data Quality And Bias — Evidence from West Africa is unpacked across themes: interoperability, risks, equity, and ethics. Limitations and future research paths are noted.
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