METR
SIRDA Overview
SIRDA editorial content. This researched account is not written or approved by METR. Published positions are summarized from public sources.
organization · Nonprofit / NGO · listed
- Name
- METR
- Profile slug
- metr
- Version
- 3
- Focus areas
- Evaluation & independent auditing
- Dangerous-capability evaluation
- Loss of control & strategic behavior
- Founded
- Not recorded
- Headquarters
- Not recorded
- Website
- https://metr.org/
- Leadership: public roles
- Not recorded
What they do
SIRDA editorial
At a glance
Independent evaluator researching frontier-model autonomy, task-completion horizons, dangerous capabilities and loss-of-control risks.
Its current place in the ecosystem spans evaluation and independent auditing, dangerous-capability evaluation, and loss of control and strategic behavior. SIRDA tags its operational role as AI evaluation.
Current work and relevance
METR's recent work includes an independent investigation of the OpenAI/Hugging Face agent incident, research on autonomous capability and AI-R&D acceleration, and a 2026 expansion of its incident-investigation and monitoring agenda.
SIRDA tracks METR as part of the measurement and verification layer. Its work is most relevant where technical findings must become trusted evidence for decisions. The constitutional problem begins after measurement: who interprets the result, how uncertainty is represented, and what procedure authorizes a consequential response.
Relationship web
- Beth Barnes: Beth Barnes founded and leads METR
- Ajeya Cotra: Ajeya Cotra is a METR researcher
- AI Evaluator Forum: Member of the AI Evaluator Forum
- Inspect AI: Uses or standardizes on Inspect AI for evaluation workflows
Sources
- Official or primary page: METR
- AI Evaluator Forum members
- Meridian Labs About
- Recent primary/relevant update
- Recent primary/relevant update
Editorial note
This is SIRDA editorial content. Inclusion is an educational listing. It does not mean the subject has joined SIRDA, endorsed the founding inquiry, or approved this description. Factual corrections can be incorporated with a visible revision record, and substantive disagreements can be published as attributed responses.
Stated expertise
Expertise the organization has stated in its own published material, not a SIRDA ranking.
No stated expertise recorded.
Key work
No key work recorded.
Sources
Version history
House capitalization in displayed editorial summaries is standardized; stored historical versions are unchanged.
Version 3: Published SIRDA editorial snapshot: 2026-09-23 00:00:00+00
organization · Nonprofit / NGO · listed
- Name
- METR
- Profile slug
- metr
- Version
- 3
- Focus areas
- Evaluation & independent auditing
- Dangerous-capability evaluation
- Loss of control & strategic behavior
- Founded
- Not recorded
- Headquarters
- Not recorded
- Website
- https://metr.org/
- Leadership: public roles
- Not recorded
What they do
SIRDA editorial
At a glance
Independent evaluator researching frontier-model autonomy, task-completion horizons, dangerous capabilities and loss-of-control risks.
Its current place in the ecosystem spans evaluation and independent auditing, dangerous-capability evaluation, and loss of control and strategic behavior. SIRDA tags its operational role as AI evaluation.
Current work and relevance
METR's recent work includes an independent investigation of the OpenAI/Hugging Face agent incident, research on autonomous capability and AI-R&D acceleration, and a 2026 expansion of its incident-investigation and monitoring agenda.
SIRDA tracks METR as part of the measurement and verification layer. Its work is most relevant where technical findings must become trusted evidence for decisions. The constitutional problem begins after measurement: who interprets the result, how uncertainty is represented, and what procedure authorizes a consequential response.
Relationship web
- Beth Barnes: Beth Barnes founded and leads METR
- Ajeya Cotra: Ajeya Cotra is a METR researcher
- AI Evaluator Forum: Member of the AI Evaluator Forum
- Inspect AI: Uses or standardizes on Inspect AI for evaluation workflows
Sources
- Official or primary page: METR
- AI Evaluator Forum members
- Meridian Labs About
- Recent primary/relevant update
- Recent primary/relevant update
Editorial note
This is SIRDA editorial content. Inclusion is an educational listing. It does not mean the subject has joined SIRDA, endorsed the founding inquiry, or approved this description. Factual corrections can be incorporated with a visible revision record, and substantive disagreements can be published as attributed responses.
Stated expertise
Expertise the organization has stated in its own published material, not a SIRDA ranking.
No stated expertise recorded.
Key work
No key work recorded.
Sources
Official Profile
This profile has not yet been claimed. SIRDA has created an educational listing for METR and invites an authorized representative to provide their own account.
In the Headlines
- Senate Hearing Examines AI-Agent Incidents, Independent Evaluations and Infrastructure Risks — Governance · 2026-09-30
A Senate Homeland Security subcommittee heard from evaluators, an infrastructure-security specialist, a legal scholar, and an AI researcher about agent incidents and proposed oversight.
- FTC Confirms Investigation Into AI Companies Over Consumer Safety Risks — Governance · 2026-09-30
An FTC spokesperson confirmed to Associated Press that the agency is investigating OpenAI, Anthropic, and other AI companies over possible risks to consumers, and declined further comment.
- Anthropic Releases Claude Opus 5.5 After External Pre-Release Testing — Frontier Models · 2026-09-22
Anthropic released Claude Opus 5.5, its first model since calling for developers to pace the frontier, after pre-release testing by external evaluators including METR and Frontier Design.
- UN Scientific Panel Publishes Brief on AI Agents and Loss of Human Control — Safety & Alignment · 2026-09-21
The UN's Independent International Scientific Panel on AI used the OpenAI-Hugging Face incident to examine one possible route to losing human control over AI.
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