NIST AI Framework

Understanding and implementing the National Institute of Standards and Technology AI Risk Management Framework

Overview

The NIST AI Risk Management Framework provides a comprehensive approach to identifying, assessing, and managing risks in AI systems throughout their lifecycle.

Framework Core

1. Govern

  • AI policies and procedures
  • Risk management strategy
  • Organizational roles
  • Resource allocation

2. Map

  • Context analysis
  • System classification
  • Risk identification
  • Impact assessment

3. Measure

  • Metrics definition
  • Testing protocols
  • Performance monitoring
  • Validation methods

4. Manage

  • Risk treatment
  • Control implementation
  • Continuous monitoring
  • Incident response

Implementation Guide

1. Foundation

  • Establish governance structure
  • Define risk appetite
  • Develop policies
  • Assign responsibilities

2. Assessment

  • Identify AI systems
  • Assess risks
  • Map dependencies
  • Document findings

3. Implementation

  • Deploy controls
  • Train personnel
  • Test effectiveness
  • Monitor performance