Definition
AI governance provides a framework for managing and overseeing artificial intelligence systems throughout their lifecycle. It establishes policies, processes, and controls to ensure AI is developed and deployed ethically, securely, and in alignment with organizational objectives. This involves defining roles and responsibilities, setting standards for data quality and model performance, and implementing mechanisms for monitoring and auditing AI outputs. AI governance is crucial for mitigating risks such as bias, privacy violations, and unintended consequences, thereby fostering trust and accountability. For instance, a financial institution might implement AI governance to ensure its credit scoring models are fair and comply with regulations. This differs from AI ethics, which focuses on the moral principles guiding AI use, whereas governance provides the operational structure to enforce those principles. Knowledge of AI governance is increasingly tested on advanced cybersecurity and cloud certification exams.