{
  "tool_id": "art-229-compute-disparity-metrics",
  "kernel_id": "art-229-compute-disparity-metrics",
  "display_name": "Compute Disparate Impact Metrics",
  "tool_version": "1.0.0",
  "mandate_type": "compliance_mandate",
  "purpose": "Computes three fair lending disparate impact metrics from aggregate lending counts: 4/5ths (80%) rule (adverse_impact_ratio) per EEOC 29 CFR §1607.4(D), z-statistic for statistical significance of the approval-rate difference, and standardised mean difference (Cohen's d). Inputs are aggregate counts only; no individual applicant records, names, demographic identifiers, or scores. ZERO PII BY CONSTRUCTION. EEOC Uniform Guidelines on Employee Selection Procedures (29 CFR §1607), HMDA/Reg C.",
  "control_description": "Computes three fair lending disparate impact metrics from aggregate lending counts: 4/5ths (80%) rule (adverse_impact_ratio) per EEOC 29 CFR §1607.4(D), z-statistic for statistical significance of the approval-rate difference, and standardised mean difference (Cohen's d). Inputs are aggregate counts only; no individual applicant records, names, demographic identifiers, or scores. ZERO PII BY CONSTRUCTION. EEOC Uniform Guidelines on Employee Selection Procedures (29 CFR §1607), HMDA/Reg C.",
  "declared_inputs": [
    "art-230-compute-hmda-rate-spread"
  ],
  "declared_outputs": [],
  "kernel_digest": "sha256:1dc8545c4d3f629c66a7ba5ecc65ad105f855135774e745190e7d089b5ad9b27",
  "trust_label": "independently verified -- zkVM execution proof (risc0/groth16-bn254)",
  "data_vintage": "2026-07-10",
  "last_validated": "2026-07-10",
  "conformance_fixtures_vendored": true,
  "compute_proof_ready": "ready",
  "wave": 39,
  "source_url": "https://ainumbers.co/chaingraph/art-229-compute-disparity-metrics.html",
  "generated_at": "2026-07-25T20:02:55.601Z"
}