Updates to our Privacy Statement and Terms of Service: How we use your data
Updates to our Privacy Statement and Terms of Service: How we use your data
Publish Date: 2026-03-25 14:56:00
Source Domain: github.blog
Hey GitHub Community,
We’ve made some important updates to our Privacy Statement and Terms of Service to keep you informed about how we handle your data. Notably, from April 24 onward we will begin using interaction data—specifically inputs, outputs, code snippets, and associated context—from Copilot Free, Pro, and Pro+ users to train and improve our AI models unless you opt out. Copilot Business and Copilot Enterprise users are not affected by this update.
Here’s a quick overview of the changes and how they affect your GitHub experience.
You’ll notice the following changes, and clarifications in this Privacy Statement update:
- Sharing with affiliates: We’ve updated the Affiliates section to expand the purposes for which we share personal data with GitHub affiliates, including Microsoft. GitHub affiliates are companies within our corporate family—they do not include third-party AI model providers or other independent service providers. Affiliates may now use shared data for additional purposes, including developing and improving artificial intelligence and machine learning technologies, subject to applicable law and their own privacy commitments. If GitHub shares your data with affiliates for AI model training, your opt-out preferences and enterprise data protections travel with the data. You can review Microsoft’s privacy practices in the Microsoft Privacy Statement.
- Product development and improvement:: We’ve added a new processing purpose to explain how we use personal data to develop, improve, and train our products, services, and technologies, including AI and machine learning models. This includes improving features, developing new offerings, enhancing safety and security, and training models that power GitHub’s AI-assisted features like GitHub Copilot. We apply appropriate technical safeguards, including filters designed to detect and remove sensitive data, and de-identification techniques.
- Lawful basis for AI development:…
