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Documents versions for most popular generative AI services. Maintained by the Sciences Po Law School Clinic.

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OpenTermsArchive/GenAI-versions

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Versions of terms from the GenAI collection

The terms in this collection are tracked by The Sciences Po Law School Clinic using Open Terms Archive.

Usage

🔍 Browse through versions straight in this repository

🔔 Subscribe by RSS to be notified of changes

🗂️ Download as dataset to analyse in depth

Context

Open Terms Archive is free and open source software that publicly records every version of the terms of digital services, increasing their readability and highlighting their changes to enable democratic oversight. In its vocabulary:

  • A version is a record of a service’s terms cleaned of the legally irrelevant parts (e.g. menus, ads…) of an online document. Each version represents the state of the terms at a specific point in time. They are publicly recorded to provide a history of how the terms evolved over time.
  • A collection is a group of terms characterised by their language, jurisdiction and industry.

Detailed information about this specific collection, including how to request or contribute terms, can be found in its declarations repository.

Missing terms

Each collection has a specific scope, and its maintainers might or might not have the intention to track the terms you are interested in.

If some versions are missing, the maintainers of this collection might benefit from your help: check open issues for known necessary corrections or open a new one.

If specific services, or specific terms for a service, are missing from this collection, they may be available in other public Open Terms Archive collections.

If not, you may just be the best person to add them by following the documentation!


License

Data in this repository is distributed under an ODC-BY 1.0 license. That means you are free to share (to copy, distribute and use the database), to create (to produce works from the database), to adapt (to modify, transform and build upon the database) as long as you attribute the resulting works to Open Terms Archive contributors.