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Essay 4.6

Equity And Access in Ethical AI for Data Science Teams: Post-Pandemic Lessons

35
Pages
MLA
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~ 37–53 mins
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Cold Chain Marketing FinTech
Abstract

This essay investigates “Equity And Access in Ethical AI for Data Science Teams: Post-Pandemic Lessons” using a panel regression with fixed effects. Through a economic lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Equity And Access in Ethical AI for Data Science Teams: Post-Pandemic Lessons

ABSTRACT
Equity And Access in Ethical AI for Data Science Teams: Post-Pandemic Lessons is unpacked across themes: governance, equity, benefits, and costs. Limitations and future research paths are noted.
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