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
The clause establishes a broad operational authorization for the company to incorporate user personal data into model training and product development workflows. This authorization applies across both existing and future AI/ML capabilities without requiring separate consent for each development initiative.
Users' personal information may be incorporated into Databricks' AI and machine learning model training processes and product improvement activities. The terms do not restrict this use to de-identified or aggregated data, nor do they limit it to specific models or features.
How other platforms handle this
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.
We are simplifying our Terms of Use, including clarifications around the use of AI tools, and their data use. We have moved the terms that describe AI Features, which were previously written for a Creator audience and located under the AI-Based Tools Supplemental Terms and Disclaimer, into the User ...
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...
Monitoring
Databricks has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
"We may use personal information to develop, train, and improve artificial intelligence and machine learning models, including generative AI features and offerings. We may also use the information we collect to improve our products and services and develop new products, services, features, and functionality.— Excerpt from Databricks's Databricks Privacy Notice
How Meta, TikTok, and Supabase restructured governance language across documents, jurisdictions, and consent frameworks through incremental document updates.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
Compliance Governance Intelligence
Need to monitor specific governance provisions?
Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
The clause establishes a broad operational authorization for the company to incorporate user personal data into model training and product development workflows. This authorization applies across both existing and future AI/ML capabilities without requiring separate consent for each development initiative.
Users' personal information may be incorporated into Databricks' AI and machine learning model training processes and product improvement activities. The terms do not restrict this use to de-identified or aggregated data, nor do they limit it to specific models or features.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Databricks.