Databricks creates profile data about you by drawing inferences from other information it collects, which may include assessments of your preferences, psychological tendencies, and professional aptitudes.
This analysis describes what Databricks'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
Inference data is one of the more sensitive categories under modern privacy law because it represents conclusions drawn about you that you may not be aware of, and which may affect how you are marketed to or evaluated.
Databricks may build a profile about your characteristics and preferences derived from your interactions with its websites and services, and this inferred data may be shared with advertising partners or used to personalize marketing communications.
How other platforms handle this
When you visit the Careers portion of our websites, we collect the information that you provide to us in connection with your job application. This includes but is not limited to business and personal contact information, professional credentials and skills, educational and work history and other in...
American does not knowingly collect personal information directly from children – persons under the age of 13, or another age if required by applicable law – other than when required to comply with the law or for safety and security reasons. Due to the nature of our Services, we may collect travel i...
We may collect information about your location, including precise geolocation information, when you use our Services. We use this information to provide location-based services, such as showing you products available in your area, and for other purposes described in this Privacy Policy.
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"Inferences drawn from other personal information to create a profile about you reflecting your preferences, characteristics, psychological trends, predispositions, behavior, attitudes, intelligence, abilities, and aptitudes.— Excerpt from Databricks's Databricks Privacy Notice
REGULATORY LANDSCAPE: Under CPRA, inferences drawn to create a consumer profile are a defined category of personal information and are subject to the right to know, right to delete, and right to opt out of sale or sharing. The California Privacy Protection Agency enforces CPRA. Under GDPR, profiling is subject to Article 22 where automated decision-making with legal or significant effects is involved, though the notice does not indicate such high-stakes automated decisions are made. GOVERNANCE EXPOSURE: Medium. The breadth of the inference categories disclosed ('psychological trends, predispositions, attitudes, intelligence, abilities, and aptitudes') is notable and should prompt review of what data inputs drive these inferences and whether the inference activities constitute profiling under GDPR in a manner requiring disclosure or a data protection impact assessment. JURISDICTION FLAGS: California creates heightened exposure given CPRA's explicit treatment of inferences as a personal information category with associated rights. EU/EEA users may have GDPR Article 22 rights depending on how inference data is used in automated decision-making, though the notice does not indicate this is occurring at a legally significant level. CONTRACT AND VENDOR IMPLICATIONS: Organizations whose employees or contacts are subject to Databricks' inference processing should assess whether their vendor agreements with Databricks address inference data appropriately, particularly if inferences touch on professional aptitudes relevant to employment contexts. COMPLIANCE CONSIDERATIONS: Compliance teams should request clarification from Databricks on the specific inputs and methodologies used to generate inference data, assess whether a DPIA is warranted under GDPR for profiling activities, and verify that inference data is included in responses to data subject access requests.
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Inference data is one of the more sensitive categories under modern privacy law because it represents conclusions drawn about you that you may not be aware of, and which may affect how you are marketed to or evaluated.
Databricks may build a profile about your characteristics and preferences derived from your interactions with its websites and services, and this inferred data may be shared with advertising partners or used to personalize marketing communications.
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