> For the complete documentation index, see [llms.txt](https://docs.aisl.science/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aisl.science/about-aisl.md).

# About AISL

The **Accountable Intelligent Systems Lab (AISL)** is a research and innovation lab focused on human-centered dialogue, agentic, and hybrid AI systems.

AISL combines machine learning, generative AI, and knowledge engineering to study intelligent systems that are more reliable, verifiable, and controllable, particularly in sensitive and safety-critical settings.

## AISL Docs and the toolstack

AISL Docs provides a **public, practical view of selected tools and services** used around AISL teaching, research, prototyping, and project work. It is intended for FHNW users as well as collaborators and potential partners who want to understand the environments and technologies we work with.

The documentation intentionally focuses on **user-facing applications, learning resources, public artifacts, and selected external services** rather than internal administration or infrastructure details.

{% hint style="info" %}
**Documentation approach:** Most AISL Docs content is created through AI-assisted and agentic workflows based on precise expert instructions and human review. This approach helps us document a broad and fast-moving tool landscape. It can still contain errors or become outdated, especially where external providers change products, quotas, pricing, or terms.
{% endhint %}

## Learn more

* [AISL website](https://aisl.science/)
* [AISL Applications](/applications.md)
* [External Tools and Services](/external-tools-and-services.md)
* [AISL on Hugging Face](https://huggingface.co/AISL-science)
* [AISL on GitHub](https://github.com/AISL-science)

## Contact

For questions about AISL applications, access, documentation corrections, or the documented toolstack, contact <engines@aisl.science>.


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# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.aisl.science/about-aisl.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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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.