Neighborhood AI
Design principles

How the work stays accountable to communities.

These design principles guide Neighborhood AI before a tool makes a claim or an output is used in a neighborhood decision.

Source-grounded decision support means people can see the records behind a finding, how it was reached, what is uncertain, and what is missing. That visibility supports review; it does not make an answer automatically right.

Provenance

Show where information comes from and distinguish a source from an interpretation.

Plurality

Keep disagreement, uncertainty, and unresolved questions visible rather than manufacturing consensus.

Permission

Be clear about who authorized information to be used and under what conditions.

Revision

Make it possible to correct the record, add context, and challenge a claim.

Refusal

Recognize that some knowledge should not be collected, retained, or made searchable.

Benefit

Ask who benefits from a system and who may be exposed or burdened by it.