Must-Know Terms for AI Governance

AI governance ensures ethical, compliant, and reliable AI by applying rules and processes. Key concepts include:

• Data Quality – Ensuring data consistency and validity.
• Privacy – Protecting sensitive data.
• Accountability – Defining roles for stakeholders.
• Explainability – Making AI outputs understandable.
• Regulatory Compliance – Adhering to laws and standards.

These concepts help build trustworthy, traceable, and compliant AI systems.