Trustworthy AI at the Air Quality-Health Nexus: A Systematic Review of Federated Learning, Distributed Ledger Technologies, and Explainable AI
The Green-AI-Trust Stack is proposed, a layered architectural framework that integrates three complementary pillars (FL for privacy-preserving distributed learning, DLT for verifiable data and model provenance, and XAI for interpretable inference and decision support within a unified AQI-health pipeline).