Workstreams

Making the origin, licensing, and consent status of training data visible, traceable, and machine-readable.

Developing modular frameworks that make permissions explicit, portable, and operational across jurisdictions.

Establishing shared methods and evidence standards for audits, procurement, and responsible deployment.

Supporting the creation of datasets, corpora, and reference models whose lineage is clear enough to travel.

Exploring the dispute pathways and legal architecture needed for enforceable accountability in AI systems.