@csgaglobal/bias-detection
v1.0.0
Published
AI bias detection, measurement, and mitigation across model lifecycle. Covers demographic parity, equalized odds, calibration, and intersectional fairness analysis.
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Readme
@csgaglobal/bias-detection
AI bias detection, measurement, and mitigation across model lifecycle. Covers demographic parity, equalized odds, calibration, and intersectional fairness analysis.
Installation
npx @csgaglobal/bias-detectionMCP Configuration
{
"mcpServers": {
"bias-detection": {
"command": "npx",
"args": ["-y", "@csgaglobal/bias-detection"]
}
}
}Tool: bias_detection_manage
Manage AI bias detection and fairness
Parameters
- system_name: AI system to assess
- operation: Operation (detect, measure, mitigate, monitor, report)
- fairness_metric: Metric (demographic parity, equalized odds, calibration, individual fairness, counterfactual)
- protected_attributes: Protected attributes to assess (race, gender, age, disability, etc.)
- jurisdiction: Operating jurisdiction or region
Category
- Category: DevOps
- CA3O Level: DevOps
License
CC0-1.0 — Creative Commons Zero v1.0 Universal
Author
CSGA Global — Cyber Security Global Alliance https://csga-global.vercel.app/
