Change Management

Change management in AI governance refers to the structured processes and strategies for implementing, adopting, and sustaining modifications to AI systems, policies, and organizational practices. This is critical for enterprise compliance because uncontrolled changes to AI models, training data, or deployment infrastructure can introduce regulatory violations, bias, or security vulnerabilities that undermine governance frameworks. Organizations that embed change management into their AI operations reduce the risk of unexpected failures, maintain audit trails for compliance purposes, and ensure stakeholders understand how algorithmic systems evolve over time.

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