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Coursework 4.8

Explainable AI and Cost–Benefit Analysis among Data Science Teams — Post-Pandemic Lessons

21
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Harvard
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~ 22–33 mins
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DevSecOps Psychology Finance
Abstract

This coursework investigates “Explainable AI and Cost–Benefit Analysis among Data Science Teams — Post-Pandemic Lessons” using a qualitative grounded theory. Through a socio-technical lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Explainable AI and Cost–Benefit Analysis among Data Science Teams — Post-Pandemic Lessons

ABSTRACT
Explainable AI and Cost–Benefit Analysis among Data Science Teams — Post-Pandemic Lessons is unpacked across themes: KPIs, governance, benefits, and equity. Limitations and future research paths are noted.
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