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Model Release
A model release refers to the process of deploying a trained machine learning or AI model into production environments where it can make real-world decisions or predictions. In governance contexts, this involves formal approval workflows, documentation of model performance metrics, testing results, and sign-offs from relevant stakeholders before the model becomes operationally live. Proper model release procedures help organizations mitigate risks related to bias, accuracy degradation, security vulnerabilities, and unintended model behavior in business-critical applications.
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