> 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

**Accountable Intelligent Systems Lab (AISL)** is part of the **Centre for Business Artificial Intelligence (CBAI)** at the **FHNW School of Business**. It researches human-centered dialogue, agentic, and hybrid AI systems, with a particular focus on accountability at the socio-technical system level.

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 It can still contain errors or become outdated, especially where external providers change products, quotas, pricing, or terms.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 Research & Innovation Lab](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
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