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Coursework 4.6

Explainable AI Adoption in Data Science Teams: Interoperability — A Comparative Perspective

13
Pages
IEEE
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~ 13–20 mins
Reading Time
Governance Leadership Energy
Abstract

This coursework investigates “Explainable AI Adoption in Data Science Teams: Interoperability — A Comparative Perspective” using a time-series forecasting. Through a economic lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Explainable AI Adoption in Data Science Teams: Interoperability — A Comparative Perspective

ABSTRACT
Explainable AI Adoption in Data Science Teams: Interoperability — A Comparative Perspective is unpacked across themes: scalability, risks, costs, and security. Limitations and future research paths are noted.
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