Biometric misidentification
An incorrect identity match can become a harmful human decision.
Reviewed · 2026-10-072 cited sources
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NIST AI Risk Management Framework 1.0
Voluntary guidance connecting governance, context, measurement and management of AI risks.
- Last reviewed
- Jurisdiction / scope
- Global
- Record date / period
- 2023-01-26
- Assessment confidence
- Not scored
Overview
A cross-sector framework for organizations developing or using AI.
Findings and scope
The framework is guidance for risk management, not a product certification or numerical risk index.
Limitations
Applying it requires context-specific decisions. This record describes the 2023 edition.
Authors
Elham Tabassi; NIST
Peer review status
Government framework; not labeled as a peer-reviewed journal article.
DOI
10.6028/NIST.AI.100-1
Related records.
Links provide context. Read the stated relationship; inclusion does not imply misconduct, endorsement or a legal obligation.
Risks
Organizations
Sources.
- Artificial Intelligence Risk Management Framework (AI RMF 1.0) ↗
NIST · Primary source · Government framework
Published 2023-01-26 · Accessed 2026-10-07Author: Elham Tabassi
DOI: 10.6028/NIST.AI.100-1
Record history.
Review dates track editorial checks. Updates may reflect corrections or added context; they are not new incidents. Private draft revisions are omitted.
- · Revision 1
Initial sourced historical collection. Review date describes this record, not the date of the event.