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Research Proposal 4.9

Scaling And Replication in Explainable AI for EU Startups: Post-Pandemic Lessons

40
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Harvard
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~ 42–58 mins
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DevSecOps AIOps FinTech
Abstract

This research proposal investigates “Scaling And Replication in Explainable AI for EU Startups: Post-Pandemic Lessons” using a survey-based structural equation modeling. Through a behavioral lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Scaling And Replication in Explainable AI for EU Startups: Post-Pandemic Lessons

ABSTRACT
Scaling And Replication in Explainable AI for EU Startups: Post-Pandemic Lessons is unpacked across themes: risks, ethics, change enablement, and interoperability. Limitations and future research paths are noted.
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