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Short abstract

Our AI Citizenship informs a prototype called Play-AIble Ethics-a game-based learning experience addressing the predominantly utilitarian orientation of many AI literacy frameworks and advance an alternative approach to AI literacy that foregrounds citizenship, rights, and collective empowerment.

Long abstract

Many AI literacy frameworks emerge from human computer interaction design and behavioural science fields, with little to no engagement with the extensive scholarship on media, digital, or data literacies. To address this, we translated the Data Citizenship framework (Carmi and Yates, 2023) into AI Citizenship. The Data Citizenship framework views data literacies as the capability (Nussbaum, 2002; Sen, 2009) of citizens to: do; think and participate with their data socially and politically. While acknowledging the exploitative nature of AI systems, our AI Citizenship framework aims to use this technology to design a society-centred, community-oriented set of AI Open Educational Resources which will challenge social power structures.

Based on our AI Citizenship framework, we built a prototype called Play-AIble Ethics, a game-based, hands-on learning experience and related toolkit resources. Instead of lectures or technical training, Play-AIble Ethics embeds real world cases in interactive stories, with missions that people play through at their own pace. We applied the AI Citizenship Framework to five real-world use cases reflecting challenges citizens encounter with AI. Participants are guided by a set of expert characters to help them develop more informed and ethical, real-world, task-based outputs using generative AI. These were developed as interactive scenarios powered by small-scale language models, enabling users to curate their own repositories through Notebook LM. Along the way, they build practical skills for working with AI, learn how to question and challenge AI systems, and explore how they can take part in shaping how these technologies are used.