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Coursework 4.4

Cost–Benefit Analysis in Explainable AI for Pharmaceutical Firms: Post-Pandemic Lessons

31
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APA
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~ 32–46 mins
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Sociology Food Systems Data Privacy
Abstract

This coursework investigates “Cost–Benefit Analysis in Explainable AI for Pharmaceutical Firms: Post-Pandemic Lessons” using a agent-based simulation. Through a behavioral lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Cost–Benefit Analysis in Explainable AI for Pharmaceutical Firms: Post-Pandemic Lessons

ABSTRACT
Cost–Benefit Analysis in Explainable AI for Pharmaceutical Firms: Post-Pandemic Lessons is unpacked across themes: KPIs, equity, change enablement, and interoperability. Limitations and future research paths are noted.
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