Framework Guide

NIST AI RMF

NIST Artificial Intelligence Risk Management Framework providing guidance for managing AI risks through the lifecycle, with functions for Govern, Map, Measure and Manage.

NIST AI RMF Overview

The NIST AI Risk Management Framework provides organizations with a structured approach to managing risks associated with AI systems across their lifecycle. Version 1.0, released in January 2023, remains current, and NIST is working on a revision.

Key Provisions

Key provisions and requirements of NIST AI RMF.

GOVERN 1.1

Legal and Regulatory Compliance

Legal and regulatory requirements involving AI are understood, managed and documented.

GOVERN 1.2

Policies and Processes

The characteristics of trustworthy AI and the organization's risk tolerance are made clear to individuals and teams through policies, processes and practices.

GOVERN 2.3

Executive Accountability

Executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment.

GOVERN 3.2

Human-AI Oversight

Policies and procedures are in place to define and differentiate roles and responsibilities for human-AI configurations and oversight of AI systems.

MAP 1.1

Context Understanding

The business or operational context of the AI system is understood and documented.

MAP 2.3

AI Capabilities and Limitations

The capabilities, limitations and appropriate use cases of the AI system are documented.

MEASURE 1.1

Performance Measurement

Metrics are defined to measure and monitor the performance of AI systems.

MEASURE 2.1

Risk Assessment

Risks associated with AI systems are assessed and prioritized.

MEASURE 2.3

Bias and Fairness Evaluation

Bias and fairness in AI systems are evaluated and measured.

MANAGE 1.1

Risk Response

Appropriate response strategies are implemented for identified AI risks.

MANAGE 2.1

Incident Response

Response plans for AI system related incidents are established and maintained.

MANAGE 4.1

Continuous Improvement

AI risk management processes are continuously improved.

NIST AI RMF Complete Guide | Tynapse AI Regulation