Provision record
Anthropic · Anthropic API Usage Policy · View original document ↗

High-risk AI Recommendation Human-in-the-Loop Requirement

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Document Record

What it is

Generated by a model from the captured document; not read by a person

Before any AI-generated recommendation in a designated high-risk domain (legal, medical, financial, credit, insurance, housing, employment, education, healthcare access, public benefits, legal status) reaches an affected individual, a qualified human with relevant expertise and applicable licensure must review and have authority to modify that recommendation. The reviewing person retains accountability for the final recommendation.

ⓘ

This analysis describes what Anthropic's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

Generated by a model from the captured document; not read by a person

This provision establishes an affirmative operational obligation on operators and developers deploying Claude in twelve enumerated high-stakes categories, requiring documented human oversight workflows before AI output is acted upon or delivered. The clause specifies licensure requirements by reference to applicable law, meaning compliance exposure varies by jurisdiction and professional domain.

Recent Activity

This document changed recently

Medium Oct 9, 2026

The updated policy clarifies that Anthropic's acceptable use rules apply to all users of its products and services, including API developers, cloud customers, and app users. The policy now explicitly prohibits weapons development and related activities, and introduces a Cyber Verification Program allowing researchers to apply for adjusted safeguards for authorized dual-use work. Enforcement procedures now include warnings and throttling in addition to suspension or termination. You can apply for the Cyber Verification Program or Life Sciences Verification Program if your work involves authorized dual-use or high-risk use cases covered by real-time safeguards.

View change record →

If You Do Nothing

⚠ The terms will apply as written, and operators who deploy AI recommendations in high-risk domains without qualified human review may be found in violation of the AUP, subject to account throttling, suspension, or termination.

Cross-platform context

See how other platforms handle High-risk AI Recommendation Human-in-the-Loop Requirement and similar clauses.

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▸ View Original Clause Language DOCUMENT RECORD
"
A qualified person must meaningfully review a High-risk AI Recommendation, with the authority to change or modify it, before it is delivered as advice to an individual who might rely on it or before it is used to implement a decision. A qualified person is someone with the training or experience to evaluate the output in that field, and who holds a license where applicable law requires one for the underlying activity. The qualified person remains responsible for the accuracy and appropriateness of what is delivered or decided.

Excerpt from Anthropic's API Usage Policy

ConductAtlas Analysis

Institutional analysis (regulatory & governance intelligence)

1) REGULATORY LANDSCAPE: This provision engages the EU AI Act's requirements for high-risk AI systems (Annex III), including conformity assessments, human oversight mechanisms, and logging obligations, as well as GDPR Article 22 on automated decision-making.

Insight

Unlock the full institutional analysis

Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.

Applicable agencies

  • FTC
    The FTC has jurisdiction over unfair or deceptive practices in AI-assisted consumer decisions, including employment, credit, and healthcare recommendation contexts.
    File a complaint →
  • CFPB
    Credit and lending decisions made using AI recommendations engage CFPB oversight under FCRA, ECOA, and related consumer financial protection statutes.
    File a complaint →

Provision details

Document information
Document
Anthropic API Usage Policy
Entity
Anthropic
Date stated by the document
Nov. 12, 2026
As printed in Anthropic’s text (version CA-V-007718), not a ConductAtlas date.
Tracking information
First captured by ConductAtlas
March 6, 2026
Text quoted from version
CA-V-007718, captured Oct. 21, 2026
Document ID
CA-D-000013
Evidence Provenance
Source URL
Wayback Machine
Archived bytes SHA-256 (version CA-V-007718)
3f4efd9295fe624bb532af54145fcf3f6ef0ac6919b207aef5ff1f9ea2c4affe
Analysis generated
October 21, 2026 01:42 UTC
Methodology
Evidence
Excerpt not yet checked against a stored version
Citation Record
Entity: Anthropic
Document: Anthropic API Usage Policy
Version: CA-V-007718
Captured: 2026-10-21 00:10:23 UTC
SHA-256: 3f4efd9295fe624b…
URL: https://conductatlas.com/platform/anthropic/anthropic-api-usage-policy/high-risk-ai-recommendation-human-in-the-loop-requirement/
Accessed: Oct. 23, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.

Other risks in this policy

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Frequently Asked Questions

What does Anthropic's High-risk AI Recommendation Human-in-the-Loop Requirement clause do?

This provision establishes an affirmative operational obligation on operators and developers deploying Claude in twelve enumerated high-stakes categories, requiring documented human oversight workflows before AI output is acted upon or delivered. The clause specifies licensure requirements by reference to applicable law, meaning compliance exposure varies by jurisdiction and professional domain.

Is ConductAtlas affiliated with Anthropic?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Anthropic.