Government and public sector
The Award List the Assistant Could Not Approve
AI can prepare the award list. It cannot approve it.
Read the story · 9 min Watch film · 1:10Grid in your field
Start with a story. See what changes. Explore the details when you need them.
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City government · 1:10
See separate public teams connect the facts behind a shared decision without assigning all authority to a single system.
The Block That Had No Department · Narrated film
An illustrative scenario. People retain authority over real decisions.
An AI-generated ranking becomes a defensible public decision record by keeping eligibility, exceptions, scoring, funding, and award authority separate.
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Teams use one live model to see what changed, test feasible options, understand why, and keep the final decision with a person.
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More stories in this field · 6 publications
Watch the short film or read the full story. Each follows a changing situation and the people responsible for the response.
Government and public sector
AI can prepare the award list. It cannot approve it.
Read the story · 9 min Watch film · 1:10
Government and public sector
One neighborhood problem crosses several departments.
Read the story · 10 min Watch film · 1:10
Government and public sector
The power could come back. The clearance is not current.
Read the story · 11 min Watch film · 1:10
Government and public sector
A public warning changes. Every channel needs the correction.
Read the story · 9 min Watch film · 1:10Use cases · 5 publications
Explore the decisions, changing facts, and responsibilities a practical evaluation needs to address.
Keep governing sources, accepted facts, hard eligibility gates, scoring, exceptions, funding constraints, explanations, corrections, and authorized determinations distinct throughout a public-program decision.
Understand · GovernSource-grounded ExploreConnect incident evidence, scoped public-warning permissions, exact-message authorization, channel-specific receipts, and versioned corrections without treating technical acceptance as public receipt or a model as warning authority.
Understand · GovernSource-grounded ExploreResearch and explanation · 15 publications
Read the worked examples, supporting research, and what remains to be validated.
High-consequence AI needs more than a human approval button. This paper separates proposals, facts, models, review, authority, and outcomes, then defines a bounded way to evaluate whether oversight is real.
Understand · GovernSource-grounded ExplorePublic policy becomes difficult to govern when eligibility, scoring, exceptions, notices, appeals, and funding limits live in separate implementations. This paper proposes a versioned decision model that can expose those relationships while preserving human and institutional authority.
Understand · GovernSource-grounded ExplorePublic warning is not one send action. This paper separates incident evidence, alerting authority, message validation, human release, channel handoff, and correction into an accountable model for bounded evaluation.
Understand · GovernSource-grounded ExploreA facility, bed, vehicle, or service-position count becomes useful only when staffing, capability, support, throughput, accessibility, time, and authority resolve together. This paper separates public preparedness guidance from a bounded Grid proposition for aggregate planning.
Understand · PlanSource-grounded ExplorePublic programs often reimplement one rule in staff tools, websites, notices, reports, and partner interfaces. This paper proposes a governed, versioned rule package with audience-specific surfaces and a bounded way to test whether they remain aligned.
Understand · GovernSource-grounded ExploreRelease history
These records describe when the related Grid FYI material became available or materially changed.