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Case Study 4.8

Explainable AI and Data Quality And Bias among Pharmaceutical Firms — Post-Pandemic Lessons

8
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IEEE
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~ 8–14 mins
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BioMed Psychology IoT
Abstract

This case study investigates “Explainable AI and Data Quality And Bias among Pharmaceutical Firms — Post-Pandemic Lessons” using a social network analysis. 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 Data Quality And Bias among Pharmaceutical Firms — Post-Pandemic Lessons

ABSTRACT
Explainable AI and Data Quality And Bias among Pharmaceutical Firms — Post-Pandemic Lessons is unpacked across themes: scalability, security, KPIs, and ethics. Limitations and future research paths are noted.
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