> For the complete documentation index, see [llms.txt](https://faia.liccium.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://faia.liccium.com/consortium/project-partners.md).

# FAIA Project Partners

The FAIA project (Fair AI Attribution) is a joint initiative that brings together expertise in data modelling, publishing standards, AI ethics, and verifiable declaration. Our consortium partners include:

## **Leiden University**

<div align="left"><figure><img src="https://976137003-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F09l08zFcolE47QCF8t6M%2Fuploads%2FrYStxrdtTmO656dLXzXt%2FUL%20-%20Algemeen%20-%20RGB-Kleur.png?alt=media&amp;token=bb905d0f-b1a5-4398-9091-331a59bf4967" alt="" width="375"><figcaption></figcaption></figure></div>

*Centre for Digital Scholarship*

Leiden University provides academic oversight and develops the ethical, legal, and scholarly foundations of the FAIA framework. Their focus is on transparency, reproducibility, and research integrity in the context of AI-assisted content creation.

Leiden University Libraries’ Centre for Digital Scholarship:\
<https://www.library.universiteitleiden.nl/about-us/centre-for-digital-scholarship>

## **GO FAIR Foundation**

<div align="left"><figure><img src="https://976137003-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F09l08zFcolE47QCF8t6M%2Fuploads%2FHlSDdKGprxabk3PWrKEt%2FGFF%20logo.png?alt=media&amp;token=c1d961ef-fe01-417c-afac-466a8fc20002" alt="" width="375"><figcaption></figcaption></figure></div>

The GO FAIR Foundation contributes deep expertise in semantic data modelling, metadata standards, and FAIR principles. It ensures that the FAIA vocabulary and declarations are interoperable, machine-readable, and openly accessible.

GO FAIR Foundation:\
[https://gofair.foundation](https://www.gofair.foundation/)

## **Liccium**

<div align="left"><figure><img src="https://976137003-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F09l08zFcolE47QCF8t6M%2Fuploads%2FTqdNVwMicwaECnVDoZDd%2FLiccium%20horizontal.png?alt=media&amp;token=581dea39-2e40-4346-8f19-055aa16a915d" alt="" width="375"><figcaption></figcaption></figure></div>

Liccium develops the technical infrastructure and implements the FAIA attribution framework into its content verification software. This includes browser plugins, APIs, and publishing tools that allow creators and platforms to document and verify AI involvement.

Liccium:\
[https://liccium.com](https://liccium.com/)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://faia.liccium.com/consortium/project-partners.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
