Provision record
Anthropic · Anthropic Privacy Policy · View original document ↗

Limitation on correcting LLM output inaccuracies

Common · 281 of 343 platforms
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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

Recent Activity

This document changed recently

Medium Sep 12, 2026

The updated terms establish expanded disclosures for Korean residents regarding personal data collection and processing. Anthropic now explicitly states it collects identity verification and fraud detection data (name, birthdate, sex, native-foreigner-code, and DI) retained until account deletion, and transfers this data overseas to Persona (US-based) for fraud and abuse detection with a 3-year retention period. The updated terms authorize this overseas transfer under PIPA Article 28-8(1)(iii) delegation. You can request that your personal data not be transferred overseas by emailing privacy@anthropic.com or contacting the Data Protection Officer at dpo@anthropic.com, though Anthropic states this may limit service availability.

View change record →
Medium Jun 9, 2026

The updated policy now explicitly discloses that Anthropic may collect biometric data, including facial geometry templates and images of government-issued identity documents, to verify age or identity in certain circumstances. The policy also clarifies that if you participate in research studies or surveys, Anthropic may combine your responses with other account data for aggregated analysis. Additionally, the policy expands the circumstances under which your inputs and outputs may be used for model training even if you opt out, including when conversations are flagged for safety review or when you explicitly report materials. You can opt out of model training through your account settings, but this opt-out does not apply to safety-flagged conversations or explicitly reported content.

View change record →

How other platforms handle this

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▸ View Original Clause Language DOCUMENT RECORD
"
If Outputs contain factually inaccurate personal data relating to you, you can submit a correction request and we will make a reasonable effort to correct this information—but due to the technical complexity of our large language models, it may not always be possible for us to do so.

Excerpt from Anthropic's Privacy Policy

Provision details

Document information
Document
Anthropic Privacy Policy
Entity
Anthropic
Date stated by the document
Sept. 10, 2026
As printed in Anthropic’s text (version CA-V-007717), not a ConductAtlas date.
Tracking information
First captured by ConductAtlas
March 6, 2026
Text quoted from version
CA-V-006888, captured Sept. 12, 2026
Record ID
CA-P-017456
Document ID
CA-D-000012
Evidence Provenance
Source URL
Wayback Machine
Archived bytes SHA-256 (version CA-V-006888)
daedb53c73ef14b1f7ef413b6929d5781d37a5861009d3a5ab48076bc56a2163
Analysis generated
July 9, 2026 17:12 UTC
Methodology
Evidence
✓ Excerpt found in version CA-V-006888, captured Sept. 12, 2026 (checked Oct. 6, 2026)
Not the current version. The document's current version is CA-V-007717, captured Oct. 21, 2026; this clause has not been re-checked against it.
Citation Record
Entity: Anthropic
Document: Anthropic Privacy Policy
Record ID: CA-P-017456
Version: CA-V-006888
Captured: 2026-09-12 00:10:18 UTC
SHA-256: daedb53c73ef14b1…
URL: https://conductatlas.com/platform/anthropic/anthropic-privacy-policy/provision/CA-P-017456/limitation-on-correcting-llm-output-inaccuracies/
Accessed: Oct. 25, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Categories

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Frequently Asked Questions

What does Anthropic's Limitation on correcting LLM output inaccuracies clause do?

The clause states: “If Outputs contain factually inaccurate personal data relating to you, you can submit a correction request and we will make a reasonable effort to correct this information—but due to the technical complexity of our large language models, it may not always be possible for us to do so.”

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 281 platforms. See the full comparison.

Is ConductAtlas affiliated with Anthropic?

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