How to contribute?
Welcome to this page! You have already taken a first step toward becoming a contributor!
We are delighted to welcome new participants to the Labelia community and to receive contributions to this collective venture. We particularly encourage contributions to the repository available on GitHub. Two contribution opportunities are available to you!
Become an occasional contributor
The Labelia project follows a standard collaborative process typical of open-source initiatives. Anyone wishing to contribute occasionally is invited to directly propose improvements, corrections, or additions in the form of pull requests on our GitHub repository.
If you're not comfortable with the pull request process, feel free to complete the contribution form at the bottom of the page!
Each contribution is carefully reviewed by our team. If it meets the project’s technical and editorial requirements, it will be incorporated into the repository. If not, we will provide detailed feedback explaining the reasons for non-approval and, where applicable, possible adjustments that could enable future integration.
This approach ensures both the quality of the repository and openness to external contributions, even occasional ones.
Become a Super Contributor
This status distinguishes individuals who are regularly and structurally involved in the evolution of the repository.
The Super Contributor status is granted when the following conditions are met:
– completion of at least three major annual contributions validated by the moderation team
– participation in at least one audit during the year.
This role acknowledges the sustained commitment of the most active contributors and enables them to play a strengthened role in the continuous improvement and robustness of the label.
In summary …
Whether you contribute occasionally or are recognized as a Super Contributor, your participation directly helps build responsible and trustworthy AI. You are taking part in a collective effort to provide every organization with the tools, practices, and guidelines needed to develop and deploy more ethical, transparent, and robust AI systems. Feel free to contribute via GitHub or through our form below.