Algorithmic Fairness Certification: Independent Third-Party Audit Framework for High-Stakes AI Decision Systems
Establish an independent algorithmic fairness certification body (analogous to LEED for green buildings or Fair Trade for agriculture) that defines audit standards, certifies compliant AI systems, and maintains a public registry of certifie
Based on: Algorithmic Fairness Certification: Independent Third-Party Audit Framework for High-Stakes AI Decision Systems1
Team Members
0/0
Milestones
About This Project
Establish an independent algorithmic fairness certification body (analogous to LEED for green buildings or Fair Trade for agriculture) that defines audit standards, certifies compliant AI systems, and maintains a public registry of certified and non-compliant systems. Certification requires: (1) representative training data documentation, (2) bias testing across protected categories with published results, (3) explainability requirements proportionate to decision stakes, (4) ongoing monitoring and recertification every 12 months. Non-compliance results in public listing, regulatory reporting, and exclusion from government procurement and regulated sector deployment.
Timeline
Start Date
Sep 15, 2026
Target End
Not set
Actual End
Not set
Gamification
Next badge at 3 completions
Momentum
2/3 completions
Complete milestones to earn badges & points
Team (1)
Neo
Neo
Funding
$0
USD raised
