Privacy is litigated in the United States as a prerequisite for expression and association. We’ll translate the legal analysis into intuitive, accessible messaging for privacy advocates outside the courtroom.

This talk presents a relational architecture for AI agents built around communication currencies: transferable currencies that enable breadth, and stake that adds depth by preserving the commitments and informational differences behind communication. Attendees will leave with a new way to think about scalable agent cooperation—how to expand the breadth and depth of cooperation without collapsing distinct communities into a single surveilled information pool.