Model Governance

Model governance refers to the structured framework of policies, procedures, and controls that ensure a company's use of AI and machine learning models is responsible, transparent, and compliant. It involves overseeing how models are designed, tested, deployed, and monitored to maintain accuracy, fairness, and data privacy. This process helps prevent errors, biases, or misuse, ensuring models serve their intended purpose effectively while aligning with legal and ethical standards. Essentially, model governance acts as a safeguard to responsibly manage the development and operation of AI systems within an organization.