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

# About This Resource

This knowledge base supports the **ethical, responsible, critical, and transparent** use of Generative AI (GenAI) systems and tools by SETU researchers and supervisors. It was developed by SETU's **Working Group on Gen AI in Research**, a subgroup of SETU's AI Steering Committee established in late 2024.

This guidance is **not prescriptive**. It does not recommend which specific GenAI tools should or should not be used. Instead, it takes a **principles-based approach**, building on the core research integrity values of reliability, honesty, respect, and accountability — framed around the [EU Living Guidelines on the Responsible Use of Generative AI in Research](https://research-and-innovation.ec.europa.eu/).

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### What This Resource Provides

* **Core principles** aligned with EU and national research integrity frameworks
* **Clear guidance** on data protection and GDPR compliance
* **Practical case studies** addressing common research scenarios
* **Specific guidance** for supervisors working with research students
* **Interactive tools** for navigating the framework
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### Who This Applies To

This guidance applies to all individuals and groups who engage in, or support, research activities under the auspices of SETU, including:

* All permanent, part-time or contract staff engaged in research
* Those involved in setting research priorities, strategies, policies and assessment
* All enrolled students who engage in research
* Research conducted on any SETU campus or on behalf of the institution at any location
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### How to Navigate This Resource

Use the left-hand navigation to move between sections. This guidance should be used alongside the **Code of Conduct for Responsible Research Practice** and SETU's Staff and Student GenAI Guidelines.

#### Working Group Members

The members of the working group are: Prof. Kim Murphy, Dr Daire Ó Broin, Dr Martin Harrigan, Dr Luke Power, Dr Sinead O'Halloran, Dr Brenda Murphy, and Dr Brian Casey.


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