A Public Algorithm Clearinghouse

Create a protected clearinghouse for public-sector AI incidents and near misses, using a common taxonomy for data errors, automation bias, denial of service, discrimination, security breaches, and vendor failures. Agencies could learn across jurisdictions before the same mechanism harms another population.