Cohere · Cohere Privacy Policy · View original document ↗

AI Model Training on User Inputs

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Document Record

What it is

Cohere states that content you submit through its services may be used to train and improve its AI models, unless you are covered by a separate enterprise agreement with different terms.

This analysis describes what Cohere'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 determines whether the prompts, documents, and queries you submit to Cohere's AI services are retained and used to further develop Cohere's models, which has implications for confidentiality of submitted content and data minimization obligations.

Interpretive note: The exact language of this provision could not be directly extracted from the truncated HTML document; the description is based on available document fragments and the policy's stated scope. Enterprise tier distinctions add interpretive complexity.

Consumer impact (what this means for users)

Under the default terms, inputs submitted through standard service tiers may be used for AI model training, meaning content you provide to the service could influence future model outputs. Enterprise API customers may have contractual protections that limit or exclude this use.

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.
  • Delete Your Data
    Email privacy@cohere.com to request deletion of your personal data or to inquire about how your submitted inputs have been used. Include your account details and a description of your request.

How other platforms handle this

Ideogram Medium

We may use the content you provide to us, including prompts and generated images, to train and improve our AI models and services.

Windsurf Medium

We may leverage OpenAI models independent of user selection for processing other tasks (e.g. for summarization). We may leverage Anthropic models independent of user selection for processing other tasks (e.g. for summarization). We may leverage these models independent of user selection for processi...

Supabase Medium

After registration, you may create, upload or transmit files, documents, videos, images, data or information as part of your use of the Service (collectively, "User Content"). This includes any inputs you provide to our AI-powered support tools and outputs generated in response to your inputs. User ...

See all platforms with this clause type →

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▸ View Original Clause Language DOCUMENT RECORD
"
We may use the inputs and outputs from your use of our Services to improve and train our AI models. If you are an enterprise API customer, your agreement with us may contain different terms regarding the use of your data for model training.

— Excerpt from Cohere's Cohere Privacy Policy

ConductAtlas Analysis

Institutional analysis (Compliance & governance intelligence)

(1) REGULATORY LANDSCAPE: This provision engages GDPR Articles 5, 6, and 9 regarding lawful basis and purpose limitation for processing personal data, particularly where user inputs contain personal data of third parties. The EU AI Act may also engage depending on the classification of the model and use case. Enforcement authority is the relevant EU supervisory authority for EEA-based users and the ICO for UK users. The provision may require evaluation under GDPR's purpose limitation and data minimization principles if the original collection basis does not explicitly cover model training. (2) GOVERNANCE EXPOSURE: High. The use of user-submitted content for AI model training is an area of active regulatory scrutiny in the EU and UK. Where inputs contain personal data of individuals who have not consented to training use, the lawful basis for this processing may be contested. The distinction between consumer and enterprise tiers creates differentiated risk exposure depending on the customer category. (3) JURISDICTION FLAGS: EU and EEA users face the highest exposure given GDPR's strict purpose limitation and lawful basis requirements. UK users face similar exposure under UK GDPR. California users may have rights under CCPA to opt out of certain uses of their personal information. The provision does not specify whether training use constitutes a sale or sharing under CCPA, which may require further evaluation. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers deploying Cohere's API should verify whether their commercial agreement explicitly limits or excludes training use of their submitted inputs. Procurement teams should treat the default policy terms as a baseline and negotiate explicit exclusions if confidentiality of submitted content is a business or regulatory requirement. The policy asserts differentiated treatment for enterprise customers but the specific contractual mechanism is not detailed in the privacy policy itself. (5) COMPLIANCE CONSIDERATIONS: Compliance teams should assess whether their use case involves submission of personal data or confidential business information through the API and whether the default training terms are acceptable. Organizations subject to professional confidentiality obligations, such as legal, healthcare, or financial services firms, should evaluate whether use under default terms is consistent with those obligations and should seek enterprise agreements with explicit training exclusions if necessary.

Full compliance analysis

Regulatory citations, enforcement risk, and due diligence action items.

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Applicable agencies

  • FTC
    The FTC has jurisdiction over unfair or deceptive data practices by technology companies and has issued guidance on AI data use disclosures relevant to this provision.
    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

Provision details

Document information
Document
Cohere Privacy Policy
Entity
Cohere
Document last updated
May 5, 2026
Tracking information
First tracked
May 10, 2026
Last verified
May 12, 2026
Record ID
CA-P-011021
Document ID
CA-D-00440
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
48f574f6141f754b1e207ebd31ad81a85645609ea91087c0f35d0f4211dd49a2
Analysis generated
May 10, 2026 04:19 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Cohere
Document: Cohere Privacy Policy
Record ID: CA-P-011021
Captured: 2026-05-10 04:19:09 UTC
SHA-256: 48f574f6141f754b…
URL: https://conductatlas.com/platform/cohere/cohere-privacy-policy/ai-model-training-on-user-inputs/
Accessed: May 13, 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 Cohere's AI Model Training on User Inputs clause do?

This provision determines whether the prompts, documents, and queries you submit to Cohere's AI services are retained and used to further develop Cohere's models, which has implications for confidentiality of submitted content and data minimization obligations.

How does this clause affect you?

Under the default terms, inputs submitted through standard service tiers may be used for AI model training, meaning content you provide to the service could influence future model outputs. Enterprise API customers may have contractual protections that limit or exclude this use.

Is ConductAtlas affiliated with Cohere?

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