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Case Study 4.5

Artificial Intelligence for Gig Workers: Scaling And Replication | Post-Pandemic Lessons

19
Pages
IEEE
Style
~ 20–30 mins
Reading Time
RPA Leadership Finance
Abstract

This case study investigates “Artificial Intelligence for Gig Workers: Scaling And Replication | Post-Pandemic Lessons” using a survey-based structural equation modeling. Through a institutional lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Artificial Intelligence for Gig Workers: Scaling And Replication | Post-Pandemic Lessons

ABSTRACT
Artificial Intelligence for Gig Workers: Scaling And Replication | Post-Pandemic Lessons is unpacked across themes: ethics, costs, risks, and governance. Limitations and future research paths are noted.
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