Grant Overview
SAFE-T is a replicable audit framework that evaluates whether AI-powered transportation tools treat all communities equitably. Using Durham, NC as a case study — with real Census, NCDOT crash, and OpenStreetMap data — it demonstrates four audit methodologies any city can run to measure AI bias in volume estimation, crash prediction, infrastructure allocation, and suppressed demand detection.
Impact
Measurable improvement in government service delivery for underserved communities
Innovation
Novel AI application meaningfully beyond current practice
Feasibility
Technical credibility with a realistic implementation and partnership plan
Scalability
Replicable across jurisdictions and sustainable beyond the grant period
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Eligibility & Requirements
Facts to Verify Before Submitting
Key Dates
- Applications openFeb 19, 2026
- Submission deadlineApr 3, 2026 · 11:59 PM PT
- Accelerator kickoffSep 2026 (in-person)
- Demo DayDec 2026 (in-person)
- Prototype expectedWithin 6 months post-award
- Funding period36 months post-award