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Dissertation 4.3

Governance And Risk in Explainable AI for Gig Workers: Post-Pandemic Lessons

38
Pages
Chicago
Style
~ 40–57 mins
Reading Time
InsurTech Public Policy CV
Abstract

This dissertation investigates “Governance And Risk in Explainable AI for Gig Workers: Post-Pandemic Lessons” using a panel regression with fixed effects. Through a behavioral lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Governance And Risk in Explainable AI for Gig Workers: Post-Pandemic Lessons

ABSTRACT
Governance And Risk in Explainable AI for Gig Workers: Post-Pandemic Lessons is unpacked across themes: scalability, change enablement, KPIs, and risks. Limitations and future research paths are noted.
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