Anthropic · Anthropic Privacy Policy · View original document ↗

Safety Review Exception to Training Opt-Out

High severity Unique · 0 of 343 platforms
Share 𝕏 Share in Share 🔒 PDF
Recent governance activity Anthropic recorded 2 documented changes in the last 30 days.
Start monitoring updates
Monitor governance changes for Anthropic Create a free account to receive the weekly governance digest and monitor one platform for governance changes.
Create free account No credit card required.

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)

This exception creates a carve-out from the opt-out mechanism that allows the entity to retain training rights over flagged or reported content regardless of a user's training opt-out election. The provision operationalizes safety review and user-initiated reporting as independent grounds for data use authorization.

Clause Stability Stable

0
Changes
3
Months Monitored
Apr 3, 2026
First Seen
Apr 10, 2026
Last Seen
This clause type exists across 3350 other provisions on other platforms.

Consumer impact (what this means for users)

Users who opt out of training data usage remain subject to training use of their conversations if those conversations are flagged for safety review or if the user reports content through Anthropic's feedback mechanisms. The scope of the opt-out is therefore conditional rather than absolute.

How other platforms handle this

Strava Medium

We use information to enhance the quality, reliability, and/or accuracy of our AI Features by creating, developing, training, testing, improving, and maintaining AI and ML models run by Strava or our service providers. We use aggregated, de-identified data for this purpose. We also use personal info...

Skillshare Medium

If you are a California resident, you have the right to: Know what personal information is being collected about you; Know whether your personal information is sold or disclosed and to whom; Say no to the sale of personal information; Access your personal information; Request deletion of your person...

Ancestry Medium

Depending on where you live, you may have certain rights with respect to your personal information, such as the right to request access, correction, or deletion of your personal information, or to opt out of the sale or sharing of your personal information. If you are a California resident, you have...

See all platforms with this clause type →

Monitoring

Anthropic has changed this document before.

Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.

Start Monitor free trial Or create a free account →
▸ View Original Clause Language DOCUMENT RECORD
"
Even if you opt-out, we will use Inputs and Outputs for model improvement when: (1) your conversations are flagged for safety review to improve our ability to detect harmful content, enforce our policies, or advance AI safety research, or (2) you've explicitly reported the materials to us (for example via our feedback mechanisms).

— Excerpt from Anthropic's Anthropic Privacy Policy

Applicable regulations

EU AI Act
European Union
BIPA
Illinois, USA
CCPA/CPRA
California, USA
Colorado AI Act
US-CO
Connecticut Data Privacy Act Amendments
US-CT
CAN-SPAM
United States Federal
EU AI Act - High Risk Provisions
EU
FTC Act Section 5
United States Federal
GDPR
European Union
Indiana Consumer Data Protection Act
US-IN
Kentucky Consumer Data Protection Act
US-KY
UK GDPR
United Kingdom
Universal Opt-Out Mechanism Expansion 2026
US

Provision details

Document information
Document
Anthropic Privacy Policy
Entity
Anthropic
Document last updated
May 5, 2026
Tracking information
First tracked
May 9, 2026
Last verified
May 12, 2026
Record ID
CA-P-000103
Document ID
CA-D-00012
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
20bca03faeb6eca729c8a9ece674a093b027618cf9e96f1e0a652dcaef888ca9
Analysis generated
May 9, 2026 14:50 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Anthropic
Document: Anthropic Privacy Policy
Record ID: CA-P-000103
Captured: 2026-05-09 14:50:44 UTC
SHA-256: 20bca03faeb6eca7…
URL: https://conductatlas.com/platform/anthropic/anthropic-privacy-policy/safety-review-exception-to-training-opt-out/
Accessed: June 10, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
Categories

Other risks in this policy

Compliance Governance Intelligence

Need to monitor specific governance provisions?

Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.

Arbitration clauses AI governance Data rights Indemnification Retention policies
Start Compliance free trial

Or start with Monitor →

Built from archived source documents, structured governance mappings, and historical version tracking.

Frequently Asked Questions

What does Anthropic's Safety Review Exception to Training Opt-Out clause do?

This exception creates a carve-out from the opt-out mechanism that allows the entity to retain training rights over flagged or reported content regardless of a user's training opt-out election. The provision operationalizes safety review and user-initiated reporting as independent grounds for data use authorization.

How does this clause affect you?

Users who opt out of training data usage remain subject to training use of their conversations if those conversations are flagged for safety review or if the user reports content through Anthropic's feedback mechanisms. The scope of the opt-out is therefore conditional rather than absolute.

Is ConductAtlas affiliated with Anthropic?

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