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| # Third-Party Data and Taxonomy Sources | |
| ## MIT AI Risk Repository (AIRI) | |
| STEM BIO-AI uses local derived data from the MIT AI Risk Repository as a taxonomy and detector-mapping reference. | |
| - Source: <https://airisk.mit.edu/> | |
| - Upstream artifact: `The AI Risk Repository V4_03` | |
| - Upstream license: `MIT` | |
| - Local snapshot date used by the current registry: `2026-04-23` | |
| Local derived files: | |
| - `stem_ai/data/airi_registry_full.v1.json` | |
| - `stem_ai/data/airi_runtime_bundle.v1.json` | |
| - `stem_ai/data/airi_detector_mapping.v1.json` | |
| These local files are not a replacement for the upstream project. They are a normalized STEM BIO-AI compatibility layer used to: | |
| - preserve provenance | |
| - bound deterministic runtime scope | |
| - document detector-to-risk mapping decisions | |
| - separate bundled runtime gaps from full-reference planning gaps | |
| The AIRI source remains external and independently maintained. STEM BIO-AI must continue to attribute the upstream project in README, docs, and runtime artifacts. | |