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Thursday October 8, 2026 12:25pm - 12:55pm EDT
ID: 32892

As AI tools become increasingly common in the creation of Open Educational Resources, the open education community faces a pressing question: how do we talk honestly about AI use in a way that is transparent, nuanced, and fair to the humans doing the work?Rather than debating whether AI should be used in OER creation, this session starts from a different premise: that authors are already using these tools, and that the more productive question is how to support transparent, human-centred disclosure of that use. Most approaches to AI disclosure focus narrowly on what the AI produced — treating it as a binary of used or not used. The KPU AI Declaration Framework for OER Creation takes a different approach, asking not "what did AI do?" but "what was the relationship between the author and AI?" — recognising that human involvement, judgment, and creative direction are essential to the process.The framework is an adaptation of the Artificial Intelligence Disclosure (AID) Framework developed by Kari D. Weaver at the University of Waterloo, reworked for the specific context of OER creation. Where the original framework was oriented toward research processes, the KPU adaptation identifies ten categories of activity relevant to OER development — from conceptualisation and instructional design to media creation and accessibility features — giving authors a structured way to describe their AI use throughout a publishing project. To capture the nuance of the human-AI relationship at each stage, the framework incorporates the Me & My Machine (MMM) labels developed by Fontys University of Applied Sciences in the Netherlands — with adaptations to better suit a Canadian and North American context. The five labels (Craftsperson, Handyperson, Cyborg, Curator, and Generator) describe a spectrum from fully independent human creation to AI-generated content, without judgment. Even where AI generates most of the content, human effort is present in the crafting of prompts, the shaping of outputs, and the decisions made throughout — and the incorporation of the label system into the AI declaration framework makes that contribution visible. To support authors in applying the framework, the presenters developed a self-assessment rubric that guides them in selecting the appropriate label for each category — moving beyond definitions to practical descriptions of what each level of human-AI collaboration looks like. An interactive version of the rubric is also available to guide authors through the process of building their own declaration statement. A Pressbooks front matter template brings everything together into a format authors can import directly into their OER projects. The framework has been well received at KPU, with authors appreciating the structure and guidance it provides. Interest has extended beyond OER creation to staff evaluating their AI use across a range of resource types. While developed in an OER context, the framework is applicable to any resource creation project — a deliberate design choice that reflects that the questions it addresses are not unique to open education. This session walks participants through the categories, labels, rubric, and template, and discusses how human-centred AI disclosure might be implemented in other contexts. 
Speakers
avatar for Amanda Grey

Amanda Grey

Open Education Strategist, Kwantlen Polytechnic University
Amanda Grey, MLIS, is the Open Education Strategist at Kwantlen Polytechnic University (KPU) in British Columbia, Canada. Over the past several years, she has worked across the full spectrum of open education practice, supporting educators in textbook affordability, OER adoption and... Read More →
KM

Karen Meijer

Scholarly Communications & Copyright Librarian, Kwantlen Polytechnic University
Karen Meijer, MLIS, MA, is the Scholarly Communications and Copyright Librarian at Kwantlen Polytechnic University (KPU) in British Columbia, Canada. She has worked in publishing since 2003 and has been active in the field of Open Education in its many forms since 2015. Throughout... Read More →
Thursday October 8, 2026 12:25pm - 12:55pm EDT
5 DR3 MIT Samberg Conference Center, 50 Memorial Drive, Cambridge MA 02139 USA

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