This analysis describes what Greenhouse'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
Personal Information is explicitly authorized as input for AI model training, meaning user data may shape AI systems beyond the user's individual service experience.
Interpretive note: The excerpt contains multiple independent use purposes. The canonical claim states the primary one (AI model training) as the most distinctive; all other purposes are listed in omitted_material.
Your Personal Information held by Greenhouse may be used to develop and train AI models.
How other platforms handle this
We do not train any models on User Content.
we may use de-identified information for the purpose of training our AI models and AI-supported services.
We test our models using diverse and representative data sets that are most appropriate for how the model is being used.
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"we may use your Personal Information to improve, develop, and provide products and services, develop and train artificial intelligence (AI) models, develop, provide and personalize our services, and gain insights with the help of AI, automated systems and inferences...— Excerpt from Greenhouse's Greenhouse Privacy Policy
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How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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Personal Information is explicitly authorized as input for AI model training, meaning user data may shape AI systems beyond the user's individual service experience.
Your Personal Information held by Greenhouse may be used to develop and train AI models.
ConductAtlas has identified this type of provision across 215 platforms. See the full comparison.
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