AI Coalition Network
AI Coalition Network — Making AI Ethics Accountability Searchable Across All 50 States
A nonprofit-flavored ranking system for corporate AI ethics, paired with a county-by-county impact explorer covering education, healthcare, criminal justice, and housing — in every state.
Most conversations about AI ethics happen in op-eds, conference panels, and Twitter threads. None of those produce shared, durable artifacts a journalist can cite or a county commissioner can use. AI Coalition Network is the artifact: public ethics rankings of AI companies, paired with a county-by-county impact explorer that maps how AI is reshaping life in all 50 states.
The category gap
Corporate AI ethics scoring exists. So does academic research on AI's local-government impact. They don't talk to each other. A school board in central Ohio wondering whether the district's grading software is biased can find research papers from MIT — but nothing about the actual products in their actual classrooms. AI Coalition Network bridges that gap with a public, browsable artifact.
What's in it
- Company rankings on four dimensions: transparency, fairness, privacy, and responsible deployment. Each ranking shows the evidence behind it, not just a score.
- County-by-county impact explorer covering all 50 states, mapping how AI is being used (and misused) across:
- Education — grading tools, plagiarism detection, special-education routing
- Healthcare — diagnostic AI, claims processing, prior authorization
- Criminal justice — pretrial risk scoring, predictive policing, parole decisions
- Housing — tenant screening, mortgage approval, valuation models
- Citation-ready data formatted for journalists, policymakers, and educators to reference in real reporting.
- Update cadence tied to public records and FOIA-driven research, not vendor press releases.
What success looks like
Success isn't a dashboard with pretty charts. Success is a journalist in Sacramento finding the data she needs to write a county-level story about pretrial risk scoring without flying to MIT for a quote. Success is a school-board parent in Kansas able to look up whether the AI grading tool the district just bought has a documented racial bias problem before the next board meeting. Success is moving the AI ethics conversation from "concerned op-ed" to "look up the data and decide."