Provision record
Anthropic · Anthropic Privacy Policy (Superseded Capture) · View original document ↗

Model Training Opt-Out with Safety-Review Carve-Out

Medium severity Medium confidence Explicit document language Common · 217 of 352 platforms
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Document Record

What it is

The agreement permits use of user Inputs and Outputs for AI model training by default, with an opt-out available in account settings, but specifies two conditions under which training use continues regardless of opt-out status: when conversations are flagged for safety review, and when users have explicitly submitted content as feedback.

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 provision establishes a conditional opt-out structure in which the training data opt-out right is subject to two categorical exceptions that may encompass a meaningful subset of user conversations. Compliance teams should evaluate whether this carve-out structure satisfies the opt-out right requirements under CCPA and the purpose limitation and legal basis requirements under GDPR and UK GDPR.

Interpretive note: The scope of what qualifies as safety-flagged content is not defined in the policy, creating ambiguity about how broadly the carve-out may apply in practice.

Clause Stability Stable

0
Changes
6
Months Monitored
May 10, 2026
First Seen
Jul 9, 2026
Last Seen
This clause type exists across 922 other provisions on other platforms.

Consumer impact (what this means for users)

Under this clause, users can limit use of their conversations for model training through account settings, but the agreement retains authorization to use safety-flagged or explicitly reported conversations for training purposes regardless of that setting. The specific scope of what qualifies as safety-flagged content is not defined with precision in the policy.

What you can do

⚠️ These actions may provide transparency or partial mitigation but may not fully address the underlying issue. Effectiveness varies by jurisdiction and individual circumstances.
  • Opt Out of Arbitration
    Log in to your Anthropic account, navigate to Privacy Settings, and disable the option allowing your Inputs and Outputs to be used for model training.

How other platforms handle this

Microsoft Medium

Microsoft also emphasizes the importance of validating AI models responsibly to enhance fairness and alignment with reality.

Tinder Medium

This is still Your Content, and you are responsible for it and its accuracy, as well as your use of it on our Services and any and all decisions made, actions taken, and failures to take action based on Your Content.

ActiveCampaign Medium

Due to the nature of the AI Features, generated Marketing Content may not be unique across users and the AI Features may generate the same or similar Marketing Content for other users.

See all platforms with this clause type →
▸ View Original Clause Language DOCUMENT RECORD
"
We may use your Inputs and Outputs to train and improve Anthropic AI models, unless you opt out through your account settings. Even if you opt-out, we will use Inputs and Outputs for model improvement when: (i) your conversations are flagged for safety review to improve our ability to detect harmful content, enforce our policies, or advance AI safety research, or (ii) you've explicitly reported the materials to us (for example via our feedback mechanisms).

Excerpt from Anthropic's Privacy Policy (Superseded Capture)

ConductAtlas Analysis

Institutional analysis (regulatory & governance intelligence)

REGULATORY LANDSCAPE: This provision implicates CCPA's opt-out of sale and sharing rights, GDPR and UK GDPR purpose limitation and legal basis requirements (Articles 5 and 6), and the FTC Act's prohibition on unfair or deceptive …

Insight

Unlock the full institutional analysis

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

Applicable agencies

  • Federal Trade Commission (ftc)
    Oversees unfair or deceptive business practices and can investigate companies that mislead consumers about data collection, sharing, or use.
    Who can file: Anyone affected by the company's practices (US or international)
    What you need: Your account details, a timeline of relevant events, and a description of the specific issue
    What to expect: Complaints inform FTC enforcement priorities and investigations but do not result in individual resolution or compensation
    File a complaint →

Applicable regulations

EU AI Act
European Union
California AB 2013 AI Training Data Transparency
US-CA
Colorado AI Act
US-CO
EU AI Act - High Risk Provisions
EU
GDPR
European Union
Texas AI Act
Texas, USA
Trump Executive Order on AI Policy Framework
US
UK GDPR
United Kingdom

Provision details

Document information
Document
Anthropic Privacy Policy (Superseded Capture)
Entity
Anthropic
Document last updated
May 5, 2026
Tracking information
First tracked
July 9, 2026
Last verified
July 9, 2026
Record ID
CA-P-008335
Document ID
CA-D-00012
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
e91b78d120f18b8a635385fb036a9ad6b0135fe530a2e4aadcc4d575da32fca0
Analysis generated
July 9, 2026 17:12 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Anthropic
Document: Anthropic Privacy Policy (Superseded Capture)
Record ID: CA-P-008335
Captured: 2026-07-09 17:12:50 UTC
SHA-256: e91b78d120f18b8a…
URL: https://conductatlas.com/platform/anthropic/anthropic-privacy-policy-superseded-capture/provision/CA-P-008335/model-training-opt-out-with-safety-review-carve-out/
Accessed: Sept. 8, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

Other risks in this policy

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Frequently Asked Questions

What does Anthropic's Model Training Opt-Out with Safety-Review Carve-Out clause do?

This provision establishes a conditional opt-out structure in which the training data opt-out right is subject to two categorical exceptions that may encompass a meaningful subset of user conversations. Compliance teams should evaluate whether this carve-out structure satisfies the opt-out right requirements under CCPA and the purpose limitation and legal basis requirements under GDPR and UK GDPR.

How does this clause affect you?

Under this clause, users can limit use of their conversations for model training through account settings, but the agreement retains authorization to use safety-flagged or explicitly reported conversations for training purposes regardless of that setting. The specific scope of what qualifies as safety-flagged content is not defined with precision in the policy.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 217 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.