Adnodd has highlighted AIMAITES’ work on Represent.me as part of its reflection on phase one of the Innovation and Collaboration Fund.
The fund supported ten projects across Wales to explore inclusive, bilingual and imaginative educational resources for the Curriculum for Wales. Our project focused on a subject that increasingly affects everyday life: how algorithms can absorb and reproduce bias.
What is Represent.me?
Represent.me is a bilingual educational concept designed to help learners investigate how artificial intelligence sorts and labels images. By looking closely at the decisions made by image-classification systems, learners can begin to recognise that technology is shaped by its training data, the people who build it and the assumptions embedded in its design.
The aim is not simply to tell young people that algorithms can be biased. It is to give them an accessible way to question outputs, discuss representation and understand why apparently neutral technology can treat people or communities unfairly.
Learning with schools and communities
Engagement with schools helped ground the project in classroom realities. Feedback informed our thinking about terminology, accessibility, emotional safety and how sensitive discussions about identity and representation should be introduced to learners.
The work also created opportunities to collaborate with people and communities interested in inclusion and representation in technology. Those perspectives helped broaden the project beyond a technical explanation of AI and towards a learning experience connected to equity and society.
Why algorithmic literacy matters
Young people are growing up surrounded by recommendation systems, automated decisions and generative AI. Understanding how those systems work—and where they can fail—is becoming an important part of digital literacy.
Our work through Represent.me explored how learners in Wales could be empowered to question bias, understand equity and recognise the influence representation has on both technology and the wider world.