Fireworks AI commits that it will not use what you type into the service or send through the API to train its AI models, unless you specifically choose to allow it.
This analysis describes what Fireworks AI'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
This provision defines the baseline data handling practice for model training, establishing that such use requires affirmative user authorization rather than occurring as a default service condition. The operational significance is that user content remains excluded from model improvement activities absent explicit consent.
This provision means that the prompts and inputs you send to Fireworks AI models will not be fed back into AI training pipelines without your consent, offering a meaningful protection for users who share sensitive or proprietary information through the API.
How other platforms handle this
Writer does not use Customer Data to train its AI models without explicit customer permission. Customer Data means the data, content, and information that customers and their end users submit to or through the Services.
Data publicly available on the Internet. Our artificial intelligence models are trained on data that is publicly available on the Internet by third parties, which may contain personal data, even if we use good practices to filter out such personal data. [...] Training Datasets. In some cases, we acc...
To improve the quality of our services, we analyse texts submitted for translation. We ensure that this analysis cannot be traced back to individual users by anonymising the data before analysis. DeepL Pro subscribers' texts are not used to train our machine translation systems.
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"No AI Training on Your Data: We do not use your prompts, training data, or API inputs to train or improve our AI models without your explicit opt-in.— Excerpt from Fireworks AI's Fireworks AI Privacy Policy
REGULATORY LANDSCAPE: This provision is relevant under GDPR Article 6 lawful basis requirements and CCPA/CPRA purpose limitation principles, both of which require that personal data not be used for materially different purposes than those disclosed at collection without additional consent. The FTC Act Section 5 also applies as a baseline against deceptive data use representations. If Fireworks operates in the EU, this commitment functions as a processing restriction that would need to be reflected in data processing agreements under GDPR Article 28. GOVERNANCE EXPOSURE: Medium. The commitment is stated as an affirmative promise and creates a documented expectation against which enforcement or litigation could be measured. If the opt-in mechanism is not clearly defined or technically auditable, operationalizing this commitment may be difficult. No specific enforcement action is cited, but FTC precedent around deceptive data use representations is well-established. JURISDICTION FLAGS: This provision is particularly significant for EU and UK users under GDPR and UK GDPR, where purpose limitation is a codified legal requirement. California users are also protected under CPRA. The provision applies globally as stated, though the enforceability of voluntary commitments beyond statutory minimums varies by jurisdiction. CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers relying on this commitment for their own compliance representations to end users should ensure it is reflected in their data processing agreements with Fireworks. If Fireworks changes this policy, the update mechanism is notice-based rather than consent-based, which may not satisfy downstream contractual obligations for some enterprise customers. COMPLIANCE CONSIDERATIONS: Compliance teams should request documentation from Fireworks confirming the technical controls that enforce this opt-in restriction, and should review whether enterprise DPAs explicitly incorporate this commitment as a contractual term rather than relying solely on the public privacy notice.
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This provision defines the baseline data handling practice for model training, establishing that such use requires affirmative user authorization rather than occurring as a default service condition. The operational significance is that user content remains excluded from model improvement activities absent explicit consent.
This provision means that the prompts and inputs you send to Fireworks AI models will not be fed back into AI training pipelines without your consent, offering a meaningful protection for users who share sensitive or proprietary information through the API.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Fireworks AI.