Socio-Technical Solutions to Improve Information Integrity and AI Literacy
Developing a socio-technical framework to enhance information integrity and AI literacy.
This project tackles the global threat of misinformation by developing a socio-technical framework to enhance information integrity and AI literacy. Through bilingual experiments involving Canadian participants, the team will evaluate how AI can effectively correct factual misconceptions within Canada’s English and French communities. The research explores the ethics of personalizing AI responses to individual cognitive styles while designing educational modules that foster critical thinking. By integrating these findings into open-source tools for fact-checking like Veracity, the project provides Canadians with proactive “epistemic companions” to build democratic resilience against AI-driven disinformation and societal polarization.
Collaborators
Taylor Lynn Curtis
Jean-François Godbout
Matt Kowal
Kellin Pelrine
Gordon Pennycook
David Rand
Nina Wang


