The Foundation: The Four Pillars of Operational AI Governance | Nate Patel
An effective MVG framework isn't a single document; it's an integrated system resting on four critical pillars. Neglect any one, and the structure collapses. Policy Pillar: The "What" and "Why" - Setting the Rules of the Road Purpose: Defines the organization's binding commitments, standards, and expectations for responsible AI development, deployment, and use. Core Components: Risk Classification Schema: A clear system for categorizing AI applications based on potential impact (e.g., High-Risk: Hiring, Credit Scoring, Critical Infrastructure; Medium-Risk: Internal Process Automation; Low-Risk: Basic Chatbots). This dictates the level of governance scrutiny. (e.g., Align with NIST AI RMF or EU AI Act categories). Core Mandatory Requirements: Specific, non-negotiable obligations applicable to all AI projects. Examples: Human Oversight: Define acceptable levels of human-in-the-loop, on-the-loop, or review for different risk classes. Fairness ...