Welcome to the NIST Trustworthy & Responsible Artificial Intelligence Resource Center (AIRC).

Welcome to the NIST Trustworthy & Responsible Artificial Intelligence Resource Center (AIRC).

The AIRC supports all AI actors in the development and deployment of trustworthy and responsible AI technologies. AIRC supports and operationalizes the NIST AI Risk Management Framework (AI RMF 1.0) and accompanying Playbook and will grow with enhancements to enable an interactive, role-based experience providing access to a wide-range of relevant AI resources.

The Department of Veterans Affairs Establishes a Trustworthy AI Framework

 

The National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF) provides AI organizations with a guiding structure to operate within, and outcomes to aspire towards, all connected to their specific contexts, use cases, and skillsets. The rights-affirming framework operationalizes trustworthy AI within a culture of responsible AI practice and use.  https://airc.nist.gov/AI_RMF_Knowledge_Base

NIST AI 600-1: AI RMF Generative AI Profile

This document can help organizations identify unique risks posed by generative AI and proposes actions for generative AI risk management that best aligns with their goals and priorities.

NIST AI 100-5: A Plan for Global Engagement on AI Standards

A Plan for Global Engagement on AI Standards ( NIST AI 100-5 ) is designed to drive the worldwide development and implementation of AI-related consensus standards, cooperation and coordination, and information sharing. 

NIST AI 100-4: Reducing Risks Posed by Synthetic Content

This publication informs, and is complementary to, a separate report on understanding the provenance and detection of synthetic content that AI EO Section 4.5(a) tasks NIST with providing to the White House. NIST AI 100-4 lays out methods for detecting, authenticating and labeling synthetic content, including digital watermarking and metadata recording, where information indicating the origin or history of content such as an image or sound recording is embedded in the content to assist in verifying its authenticity.