Attribution Risk

Attribution risk refers to the legal and reputational danger a company faces when it cannot clearly identify the source of its training data or verify ownership claims. This matters for AI governance because regulators increasingly require data provenance documentation, and using copyrighted material without permission can trigger costly litigation or fines. Companies must track where their models' training data came from and ensure they have rights to use it, or face claims from content creators and rights holders.

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