Internal Controls

Internal controls are processes, policies, and procedures that organizations implement to ensure the accuracy, reliability, and integrity of their operations and financial reporting. In AI governance, internal controls serve as critical safeguards by establishing checkpoints for model development, data handling, and algorithmic decision-making to prevent unauthorized changes and ensure compliance with regulatory requirements. Effective internal controls reduce the risk of AI-related failures, data breaches, and regulatory violations while providing auditable evidence that governance frameworks are functioning as intended.

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