AI Governance encompasses the frameworks, policies, and procedures necessary to manage and oversee the development, deployment, and ongoing use of artificial intelligence systems. It ensures that AI applications align with organizational objectives, ethical principles, regulatory requirements, and risk management strategies. This skill area is crucial for organizations implementing AI programs, particularly in regulated industries or when dealing with sensitive data, to maintain trust, mitigate risks, and ensure accountability in AI operations. It involves establishing clear lines of responsibility, implementing audit trails, and defining processes for model validation, monitoring, and continuous improvement. Certifications covering AI Governance often prepare individuals for roles that require a comprehensive understanding of AI ethics, risk management, and regulatory compliance in the context of AI.
AI Governance is the structured approach to establishing and enforcing policies, standards, and controls for the responsible design, development, deployment, and operation of artificial intelligence systems.