NIST Trustworthy & Responsible Artificial Intelligence Resource Center
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.
AI RMF Knowledge Base
AI Risk Management Framework (RMF)
The AI RMF is voluntary guidance to improve the ability to incorporate trustworthiness considerations into the design, development, use and evaluation of AI products, services and systems.
AI RMF Playbook
Companion resource for the AI RMF that includes suggested actions, references, and documentation guidance to achieve outcomes for the four AI RMF functions.
Glossary
The Glossary helps promote a shared understanding and improved communication in trustworthy and responsible AI.
Engagements and Events
NIST relies on and encourages robust interactions with companies, universities, nonprofits, and other government agencies in driving and carrying out its AI agenda. There are multiple ways to engage with NIST, including:
- Workshops: NIST convenes experts for single day, multi-day, and multi-week sessions.
- AI Visiting Fellows: Accomplished Visiting Fellows bring thought leadership to foundational research.
Training
Opportunities to learn about building trustworthy and responsible AI through approaches like the AI RMF.
- Introduction to the NIST AI RMF 1.0: An Explainer Video.
AI RMF Roadmap
The Roadmap is a companion to the Artificial Intelligence Risk Management Framework (AI RMF 1.0). The Roadmap identifies key activities for advancing the AI RMF that could be carried out by NIST in collaboration with private and public sector organizations – or by those organizations independently. NIST’s involvement will depend in part on resources available. Work described in the Roadmap is intended to help fill gaps in knowledge, practice, or guidance and be useful to broader audience in pursuit of trustworthy and responsible AI. Roadmap activities will change as AI technologies and experience evolve.
