{"_id":"@csgaglobal/bias-detection","name":"@csgaglobal/bias-detection","dist-tags":{"latest":"1.0.0"},"versions":{"1.0.0":{"name":"@csgaglobal/bias-detection","version":"1.0.0","description":"AI bias detection, measurement, and mitigation across model lifecycle. Covers demographic parity, equalized odds, calibration, and intersectional fairness analysis.","type":"module","main":"dist/index.js","bin":{"bias-detection-mcp":"dist/index.js"},"scripts":{"start":"node dist/index.js","build":"tsc"},"dependencies":{"@modelcontextprotocol/sdk":"^1.6.1","zod":"^3.24.1"},"devDependencies":{"typescript":"^5.7.3","@types/node":"^22.12.0"},"license":"CC0-1.0","repository":{"type":"git","url":"git+https://github.com/csga-global/mcp-servers.git","directory":"packages/bias-detection"},"author":{"name":"CSGA Global — Cyber Security Global Alliance"},"keywords":["mcp","ai-governance","compliance","csoai","bias","fairness","demographic-parity","equalized-odds","intersectional"],"_id":"@csgaglobal/bias-detection@1.0.0","bugs":{"url":"https://github.com/csga-global/mcp-servers/issues"},"homepage":"https://github.com/csga-global/mcp-servers#readme","_nodeVersion":"22.22.0","_npmVersion":"10.9.4","dist":{"integrity":"sha512-soI7L3jfHm0hjA/iBaeSA3rVxqJqUJeShdu7gvHNB+UZ+poWRi/+32kDiDZ4Y1InI70PpxlXCyPrFEJ47N4OKQ==","shasum":"e43f83349ac193c9f096fe46de2fd953a457beae","tarball":"https://registry.npmjs.org/@csgaglobal/bias-detection/-/bias-detection-1.0.0.tgz","fileCount":5,"unpackedSize":9726,"signatures":[{"keyid":"SHA256:DhQ8wR5APBvFHLF/+Tc+AYvPOdTpcIDqOhxsBHRwC7U","sig":"MEQCIBKm8HGnopVSZiCmah8ccB7xxqHindNn7UMEWBDUcF4gAiAHJJbA7WDeGxB3QnERI3X8NEo84ZxdgPYBo3CKNTq80g=="}]},"_npmUser":{"name":"csga_global","email":"Nicholastempleman@gmail.com"},"directories":{},"maintainers":[{"name":"csga_global","email":"Nicholastempleman@gmail.com"}],"_npmOperationalInternal":{"host":"s3://npm-registry-packages-npm-production","tmp":"tmp/bias-detection_1.0.0_1772430013057_0.8447066040714464"},"_hasShrinkwrap":false}},"time":{"created":"2026-03-02T05:40:12.948Z","1.0.0":"2026-03-02T05:40:13.205Z","modified":"2026-03-02T05:40:13.467Z"},"maintainers":[{"name":"csga_global","email":"Nicholastempleman@gmail.com"}],"description":"AI bias detection, measurement, and mitigation across model lifecycle. Covers demographic parity, equalized odds, calibration, and intersectional fairness analysis.","homepage":"https://github.com/csga-global/mcp-servers#readme","keywords":["mcp","ai-governance","compliance","csoai","bias","fairness","demographic-parity","equalized-odds","intersectional"],"repository":{"type":"git","url":"git+https://github.com/csga-global/mcp-servers.git","directory":"packages/bias-detection"},"author":{"name":"CSGA Global — Cyber Security Global Alliance"},"bugs":{"url":"https://github.com/csga-global/mcp-servers/issues"},"license":"CC0-1.0","readme":"# @csgaglobal/bias-detection\n\nAI bias detection, measurement, and mitigation across model lifecycle. Covers demographic parity, equalized odds, calibration, and intersectional fairness analysis.\n\n## Installation\n\n```bash\nnpx @csgaglobal/bias-detection\n```\n\n## MCP Configuration\n\n```json\n{\n  \"mcpServers\": {\n    \"bias-detection\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@csgaglobal/bias-detection\"]\n    }\n  }\n}\n```\n\n## Tool: bias_detection_manage\n\nManage AI bias detection and fairness\n\n### Parameters\n\n- **system_name**: AI system to assess\n- **operation**: Operation (detect, measure, mitigate, monitor, report)\n- **fairness_metric**: Metric (demographic parity, equalized odds, calibration, individual fairness, counterfactual)\n- **protected_attributes**: Protected attributes to assess (race, gender, age, disability, etc.)\n- **jurisdiction**: Operating jurisdiction or region\n\n## Category\n\n- **Category:** DevOps\n- **CA3O Level:** DevOps\n\n## License\n\nCC0-1.0 — Creative Commons Zero v1.0 Universal\n\n## Author\n\nCSGA Global — Cyber Security Global Alliance\nhttps://csga-global.vercel.app/\n","readmeFilename":"README.md","_rev":"1-0686d5155aa88efad0f25b9e28c74641"}