AI Model Governance

AI Model Governance refers to the framework and processes that ensure AI models are developed, deployed, and used in a responsible and ethical manner. It encompasses guidelines for compliance with regulations, transparency, accountability, and risk management throughout the model lifecycle. Key characteristics include monitoring for bias, ensuring data privacy, and maintaining model performance standards. Common use cases involve organizations implementing governance policies to mitigate risks associated with AI deployment, ensuring alignment with ethical standards, and facilitating stakeholder trust in AI systems.