Definition
An AI Governance Framework is a structured set of policies, processes, and controls designed to manage and oversee the development, deployment, and use of artificial intelligence systems. It establishes clear guidelines for ethical considerations, data privacy, security, transparency, and accountability in AI operations. These frameworks ensure that AI applications align with organizational values and regulatory requirements by defining roles, responsibilities, and decision-making procedures. Implementing such a framework helps mitigate risks associated with AI, such as bias, unintended consequences, and misuse, thereby fostering trust and reliability. For instance, a financial institution might use an AI governance framework to ensure its credit scoring algorithms are fair and compliant with anti-discrimination laws. This differs from general AI ethics guidelines by providing actionable, implementable procedures rather than just principles. Concepts related to AI governance are increasingly appearing in advanced IT security certifications and project management exams like the PMP.