Google AI Studio · Gemini API Terms of Service · View original document ↗

Default Model Training on API Inputs and Outputs

High severity High confidence Explicitdocumentlanguage Unique · 0 of 343 platforms
Share 𝕏 Share in Share 🔒 PDF
Monitor governance changes for Google AI Studio Create a free account to receive the weekly governance digest and monitor one platform for governance changes.
Create free account No credit card required.
Document Record

What it is

Unless you turn off the opt-out setting in your project, Google states it may use the prompts and responses you send through the API to train and improve its AI models.

This analysis describes what Google AI Studio'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 default data-use posture that applies to all API traffic until a developer affirmatively changes a project setting. Developers handling personal data from end users should assess whether this default is consistent with their data protection obligations before deploying.

Consumer impact (what this means for users)

Developers and, by extension, end users of developer-built applications may have their API inputs and outputs used for Google model improvement unless the developer has configured the opt-out setting. The provision places the obligation to opt out on the developer, not the end user.

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
    Log in to Google AI Studio, navigate to your project or API key settings, locate the data-use or model improvement setting, and toggle the opt-out option to disable use of your API data for model training.

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...

Ledger Medium

At Ledger, earning and maintaining our users' trust is a top priority. That's why we are deeply committed not only to protecting your privacy and securing your personal data, but also to being fully transparent about how we handle it.

Garmin Medium

If you are located in the European Economic Area, Switzerland, or the United Kingdom, you have the right to access, correct, or erase your personal data; the right to restrict or object to our processing of your personal data; the right to data portability; and, where our processing is based on your...

See all platforms with this clause type →

Monitoring

Google AI Studio 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
"
When you use the Gemini API via Google AI Studio, Google uses the content you submit to and generate from the API ("API Data") to provide, improve, and develop Google products and services, including Google's AI models, unless you opt out using the API data settings for your project.

— Excerpt from Google AI Studio's Gemini API Terms of Service

ConductAtlas Analysis

Institutional analysis (Compliance & governance intelligence)

1) REGULATORY LANDSCAPE: This provision engages GDPR Articles 5(1)(b) (purpose limitation), 6 (lawful basis), and 13/14 (transparency), as data submitted through the API may include personal data from end users. If developers are established in the EU/EEA or process data of EU/EEA residents, the default opt-in posture for model training may require a lawful basis assessment. The provision also engages CCPA disclosure requirements where personal information of California residents is included in API traffic. The relevant EU enforcement authorities are national data protection authorities and the European Data Protection Board; in the US, the FTC has jurisdiction over deceptive data practices. 2) GOVERNANCE EXPOSURE: High. The default-on data-use configuration for model training is the most significant compliance exposure in this document. Developers who process personal data of end users without auditing this setting may be operating in a manner inconsistent with their stated privacy policies or applicable law. The risk is highest for developers in EU/EEA jurisdictions and those processing sensitive categories of data. 3) JURISDICTION FLAGS: EU/EEA developers face the highest exposure given GDPR purpose limitation and transparency requirements. California-resident user data implicates CCPA service provider provisions and whether Google qualifies as a service provider or a third party under the developer's data flows. Illinois and New York do not create specific additional flags for this provision absent biometric or health data processing. 4) CONTRACT AND VENDOR IMPLICATIONS: Procurement teams should assess whether the API Terms alone constitute a sufficient data processing agreement under GDPR Article 28, or whether a separate DPA must be executed. The provision does not itself constitute a controller-processor delineation, and developers should not assume the terms resolve that question. B2B platforms re-selling API-based services should evaluate whether downstream DPA obligations exist. 5) COMPLIANCE CONSIDERATIONS: Compliance teams should document the current opt-out status for each active API project. Privacy policies for end-user-facing applications should be reviewed to determine whether Google's use of API data for model improvement is adequately disclosed. Data mapping exercises should include API traffic as a data flow to Google.

Full compliance analysis

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

Track 1 platform — free Try Monitor free for 14 days

Free: track 1 platform + weekly digest. Monitor: 25 platforms + same-day alerts. No credit card required.

Applicable agencies

  • FTC
    The FTC has jurisdiction over data practices that may constitute unfair or deceptive acts, including default data-use configurations that affect consumer data without prominent disclosure.
    File a complaint →

Applicable regulations

Colorado AI Act
US-CO
Connecticut Data Privacy Act Amendments
US-CT
EU AI Act - High Risk Provisions
EU
Indiana Consumer Data Protection Act
US-IN
Kentucky Consumer Data Protection Act
US-KY
Universal Opt-Out Mechanism Expansion 2026
US

Provision details

Document information
Document
Gemini API Terms of Service
Entity
Google AI Studio
Document last updated
May 12, 2026
Tracking information
First tracked
May 12, 2026
Last verified
May 12, 2026
Record ID
CA-P-011801
Document ID
CA-D-00794
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
f3afc7399215647b439466fff72c88db5307ae2642009cfb4fdcb6a308296e66
Analysis generated
May 12, 2026 15:13 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Google AI Studio
Document: Gemini API Terms of Service
Record ID: CA-P-011801
Captured: 2026-05-12 15:13:45 UTC
SHA-256: f3afc7399215647b…
URL: https://conductatlas.com/platform/google-ai-studio/gemini-api-terms-of-service/default-model-training-on-api-inputs-and-outputs/
Accessed: June 27, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
Categories

Other risks in this policy

Related Analysis

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 Google AI Studio's Default Model Training on API Inputs and Outputs clause do?

This provision establishes a default data-use posture that applies to all API traffic until a developer affirmatively changes a project setting. Developers handling personal data from end users should assess whether this default is consistent with their data protection obligations before deploying.

How does this clause affect you?

Developers and, by extension, end users of developer-built applications may have their API inputs and outputs used for Google model improvement unless the developer has configured the opt-out setting. The provision places the obligation to opt out on the developer, not the end user.

Is ConductAtlas affiliated with Google AI Studio?

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