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Resources

This folder is for useful third-party material that can inform the risk register, such as position papers, institutional policies, guidance documents, case studies, and related reports.

As a default, add resources here as links with short notes rather than storing PDFs in the repository. This keeps the repo smaller, makes updates easier, and avoids redistributing third-party material unless there is a clear reason to do so.

How to use this folder

  • To suggest a resource through GitHub, open a new issue and select Propose a new resource.
  • Add one entry per resource using the template below.
  • Group similar resources under the relevant heading, or add a new heading if needed.
  • Prefer links to the original publisher or organisation.
  • Include a short note explaining why the resource is relevant to this project.
  • Only store a PDF locally if it is essential to preserve, stable linking is not possible, and redistribution is clearly allowed.

Entry Template

Copy and paste this block for each new item:

### [Title of policy](https://example.org/policy)

- Organisation / authors:
- Year:
- Type: Policy / Position paper / Guidance / Case study / Report / Other
- Relevance:
- Tags:
- Notes:

Policies

OpenInfra Foundation Policy for AI Generated Content

  • Organisation / authors: OpenInfra Foundation
  • Year: 2023 (updated 2024, 2025)
  • Type: Policy
  • Relevance: Explains the steps engineers should take to ensure safe and transparent use of AI in open source software.
  • Tags:
  • Notes:

Journal of Open Source Software Policies

  • Organisation / authors: Journal of Open Source Software
  • Year: 2026
  • Type: Policy
  • Relevance: Includes a section on "AI usage policy" which details the expectations of authors and reviewers around AI usage.
  • Tags:
  • Notes:

Position Papers

ADSA position paper on generative AI

  • Organisation / authors: Alliance for Data Science and AI
  • Year: 2026
  • Type: Position paper
  • Relevance: Community developed position paper on AI use in the research software workspace. This has been developed through a number of workshops designed to engage the RSE community.
  • Tags:
  • Notes: You can add your signature to the paper to show your support for the key messages!

Guidance and Frameworks

Embracing AI with integrity

  • Organisation / authors: UK Research Integrity Office
  • Year: 2025
  • Type: Guidance
  • Relevance: Covers general use of AI in research, with some applications to research software engineering.
  • Tags:
  • Notes:

Artificial Intelligence Playbook for UK Government

  • Organisation / authors: Department for Science, Innovation & Technology; Government Digital Services
  • Year: 2025
  • Type: Guidance
  • Relevance: Covers general use of AI in the public sector. Includes detailed scenarios relevant to the risk register, including AI-generated software examples.
  • Tags:
  • Notes:

Case Studies and Reports

The state of AI for research software engineering

  • Organisation / authors: Steve van Tuyl, Consortium for the Advancement of Scientific Software
  • Year: 2026
  • Type: Report
  • Relevance: A YouTube video detailing the results of a survey on GenAI use in the RSE community.
  • Tags:
  • Notes: Slides are available here

Is AI After My Job? Navigating the Future of Research Software Engineering

  • Organisation / authors: Nadine Spychala; Colin Sauze; Bryn Noel Ubald; Scott Archer-Nicholls; Software Sustainability Institute
  • Year: 2026
  • Type: Report
  • Relevance: A blog post developed at Collaborations Workshop 2025 weighing the risks and opportunities of Generative AI in the RSE workspace.
  • Tags:
  • Notes:

Preparing JOSS for a generative AI future: From code to human creativity and design

  • Organisation / authors: Arfon M. Smith, Journal of Open Source Software
  • Year: 2026
  • Type: Report
  • Relevance: Discusses the ways in which JOSS, and the open-source software community more broadly, are adapting to generative AI.
  • Tags:
  • Notes:

Other