As AI systems increasingly shape what we see, know, and trust, they are also amplifying a critical issue: many communities remain invisible, misrepresented, or absent from the systems that shape how reality is understood.

The question is no longer just how information flows—but whose lived realities are recognized and reflected in the systems shaping society.

This session introduces civic visibility: the ability for communities to have their experiences accurately seen, understood, and meaningfully represented in the decisions, narratives, and institutions that affect their lives. In the age of AI, this becomes more urgent—systems built on incomplete perspectives risk reinforcing blind spots at scale.

Decentralized, participatory approaches offer an alternative. By enabling communities to contribute directly to shared systems—grounded in provenance, transparency, and shared stewardship—we can begin to rebuild trust in how knowledge is created and used.

Drawing from real-world work with underrepresented communities—including decentralized, provenance-backed reporting with Harvard in America’s most diverse square mile—this session explores how lived experience can be captured, verified, and elevated without losing authenticity or agency.

Grounded in co-creation and communities of care, these systems are designed to be reciprocal, non-extractive, and durable. They function as shared civic infrastructure and public goods—expanding who gets to shape the public record.

This session is participatory. Attendees will reflect on:
- Which communities remain unseen in their environments
- What perspectives are missing
- How decentralized approaches could help address these gaps

These challenges—and opportunities—are global. If we don’t rethink how visibility and trust are built, AI will scale the world’s blind spots. If we get it right, we can build systems that allow society to see itself more clearly—and act on that understanding.