NIST AI RMF APPLICATION DATA GOVERNANCE INFRASTRUCTURE

Policies, processes, and practices

Part of: GV: GOVERN — Policies, Accountability & Culture

Description

AI policies, processes, procedures, and practices are in place across the organization to map, measure, manage, and govern AI risks.

Suggested Actions

1

Develop a comprehensive AI governance policy suite covering ethics, risk management, and compliance — this is not optional, it is the foundation everything else builds on

2

Establish AI risk management processes integrated with the enterprise risk framework (ERM) — AI risk should not exist in a silo separate from operational, financial, and compliance risk

3

Create operational procedures for every phase of the AI lifecycle: intake/approval, development, testing, deployment, monitoring, and decommissioning

4

Document and communicate governance practices to all relevant personnel through mandatory training with role-specific content

5

Implement a policy exception process with documented justification, risk acceptance, and compensating controls — policies without enforcement mechanisms are suggestions

6

Review and update all AI policies at least annually, or triggered by significant incidents, regulatory changes, or material changes to AI system portfolio

Related Controls

AI Acceptable Use Policy AI Risk Self-Assessment