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

Model Training Use of User Inputs and Outputs

High severity Common · 279 of 352 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

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

The provision establishes a bifurcated data usage framework where general model training is subject to user opt-out, but safety-related uses and user-initiated reporting create categorical exceptions that bypass the opt-out mechanism. This creates a distinction between discretionary and mandatory data uses based on flagging or explicit user reporting.

Consumer impact (what this means for users)

Users can prevent general use of their inputs and outputs for model training through account settings, but Anthropic retains authorization to use flagged conversations and explicitly reported materials for safety review and model improvement without regard to opt-out status. The provision establishes that safety-flagged and user-reported content falls outside the scope of the opt-out right.

How other platforms handle this

Roblox Medium

Where the law allows us to, we may use the content you and other users have posted for training or to help us to improve the way we filter content on our platform.

MyFitnessPal Medium

We use your personal information to send you newsletters and other promotional communications, including information about MyFitnessPal's new offerings, features, offers, events, webinars, and other information.

Lyft Medium

We may infer certain information from your interactions with the Lyft Platform and other personal information available to us. For example, if you frequently ride to or from airports, we may infer you are a frequent traveler.

See all platforms with this clause type →
▸ View Original Clause Language DOCUMENT RECORD
"
We may use your Inputs and Outputs to train our models and improve our Services, unless you opt out through your account settings. 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 Privacy Policy

Applicable regulations

EU AI Act
European Union
BIPA
Illinois, USA
CCPA/CPRA
California, USA
Colorado AI Act
US-CO
CAN-SPAM
United States Federal
ePrivacy Directive
European Union
EU AI Act - High Risk Provisions
EU
FTC Act Section 5
United States Federal
GDPR
European Union
UK GDPR
United Kingdom

Provision details

Document information
Document
Anthropic Privacy Policy
Entity
Anthropic
Document last updated
May 5, 2026
Tracking information
First tracked
Sept. 12, 2026
Last verified
Sept. 12, 2026
Record ID
CA-P-000102
Document ID
CA-D-00012
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
61b3e3d0e48a360479a7742aa2bf41b65129b0acd7d558204d95c148ad4acd65
Analysis generated
September 12, 2026 01:50 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Anthropic
Document: Anthropic Privacy Policy
Record ID: CA-P-000102
Captured: 2026-09-12 01:50:35 UTC
SHA-256: 61b3e3d0e48a3604…
URL: https://conductatlas.com/platform/anthropic/anthropic-privacy-policy/provision/CA-P-000102/model-training-use-of-user-inputs-and-outputs/
Accessed: Sept. 27, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
Categories

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Frequently Asked Questions

What does Anthropic's Model Training Use of User Inputs and Outputs clause do?

The provision establishes a bifurcated data usage framework where general model training is subject to user opt-out, but safety-related uses and user-initiated reporting create categorical exceptions that bypass the opt-out mechanism. This creates a distinction between discretionary and mandatory data uses based on flagging or explicit user reporting.

How does this clause affect you?

Users can prevent general use of their inputs and outputs for model training through account settings, but Anthropic retains authorization to use flagged conversations and explicitly reported materials for safety review and model improvement without regard to opt-out status. The provision establishes that safety-flagged and user-reported content falls outside the scope of the opt-out right.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 279 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.