PI Wajih Ul Hassan discusses the MLDL project: Multi-Layer Data Provenance and Federated Learning for Securing Scientific AI Pipelines. The project aims to build an end-to-end provenance infrastructure that tracks the full dataset lifecycle. This would enable transparency and accountability, and allow for trustworthy, reproducible AI-driven science.

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