The Apathetic No-AI Use Rider (aNOAI) is a short, versioned addendum to permissive licenses (e.g., MIT) that restricts use of a project for training, fine-tuning, or improving machine-learning or AI systems. It is designed to be portable and easy to adopt, and intended so that in the future, once a majority of adopters feel the Rider is no longer necessary, its restrictions can be removed.
[!NOTE] This Rider does not restrict the use of AI tools in a project (which is nearly unenforceable). It only restricts the project licensed with it from being used as training data for AI.
To apply the Rider to your project:
RIDER_v1.md in your repository.The Rider is Version 1 or later. Later versions may modify, replace, or remove these restrictions. Always refer to the canonical source for the latest version:
https://github.com/apathetic-license/apathetic-noai
[!WARNING] Adding this Rider changes the rights users have under your Base license, and the resulting modified license can no longer be considered official or OSI approved.
By saying v1 or later, users of your project may adopt any future version
published by the Apathetic License Collective.
The intent is that when members (see below) feel the legal and ethical framework around AI properly compensates and represents contributions, all projects using this Rider can remove their restrictions without relicensing, including projects that are not actively maintained.
See our hypothetical future version
drafts/DRAFT_v99.md, which removes all restrictions.
This draft is not intended for adoption and exists solely for reference.
The Rider is maintained by the Apathetic License Collective, a group of contributors and projects who support oversight of the AI-use restrictions.
To join the Collective:
The Collective is intended to be lightweight, transparent, and apolitical, providing a community-backed mechanism for versioning the Rider without overcomplicating adoption.
This repository is licensed under the MIT License with the Apathetic No-AI Use Rider v1.0 or later. See LICENSE for details.