AiRethink
A Community Answer to Corporate AI
Join Us in Re-Democratizing AI
We are actively seeking collaborators, community partners, and early users. If your organization works in arts, culture, education, Indigenous knowledge, or community services, we want to hear from you.
Who we are looking for
Faculty and researchers to co-develop the Cultural Captioning framework with domain expertise in Indigenous, Asian, dance, design, or other traditions
Cultural institutions and non-profits to pilot Uness as a private, free AI tool for your community
Artists and designers to use and help shape the RethinkAI Creative Journey interface
Students interested in graduate research at the intersection of AI, ethics, and community
Who We Are
Artists and Researchers Who Build Tools and Use Them
We are not primarily researchers who study artists. We are artists and researchers who build tools and use them.
The iVizLab team at SFU is embedded in the communities we serve. We build working prototypes and deploy them in real creative and professional contexts — gallery shows, Chinese scroll conservation, dance and movement research, medical education, architectural ideation, and animal communication studies — then refine the tools against genuine creative and community needs, not just lab conditions.
This work is grounded in five published or submitted papers (AIES 2026, ICML 2026, IJCAI, ICCC 2023) covering inference-phase energy visibility, Slow AI design principles, the environmental burden of stored AI output ("AI slag," as distinct from "AI slop"), and culturally grounded generative systems.