---
id: "entity-metr"
type: "entity"
entityType: "organization"
canonicalName: "METR"
aliases: []
source_timestamps: ["§ The Music Industry Precedent"]
tags: ["evaluation-body", "ai-safety"]
related: ["framework-cmo-compensation", "concept-scaling-laws-valuation", "question-weight-verification"]
sources: ["tail1"]
sourceVaultSlug: "hbr-seg-tail1"
originDay: 1
articleStem: "hbr-tail-109-ai-pay-fair-rates-content"
sourceUrl: "https://hbr.org/2026/06/how-ai-companies-can-pay-fair-rates-for-the-content-they-need"
sourceTitle: "How AI Companies Can Pay Fair Rates for the Content They Need"
---
# METR

## Profile

An **independent AI evaluation body**.

## Role in this source

Proposed as the kind of **trusted third party** that could independently estimate the [[concept-scaling-laws-valuation|scaling-law]]-implied data share of AI models — preventing firms from manipulating the figures to underpay creators. This is the verification anchor of **Step 1** of the [[framework-cmo-compensation]].

## Enrichment caveat

A plausible choice given its technical-evaluation profile, but the **specific auditing scheme** — especially for proprietary [[concept-data-mixture-weights|mixture weights]] — remains open. See [[question-weight-verification]].