The RAI layer addresses the critical need for machine-readable documentation regarding the ethical and social impacts of datasets.
Proposes a machine-readable way to capture and share metadata traditionally found in Data Cards. This makes documentation searchable and reusable.
Records granular details on how a dataset was created, processed, and enriched. This provides transparency for downstream AI safety assessments.