On March 28, Revealing AI brought participants together for a free 3-hour public workshop at the North Vancouver City Library, exploring how AI shapes as data subjects. Through discussion, speculative methods, and hands-on creative activities we worked together to make hidden AI visible.
“Rather, artificial intelligence is both embodied and material, made from natural resources, fuel, human labor, infrastructures, logistics, histories, and classifications.”
Revealing AI is a research project led by Sarah O’Sullivan and Mathew Arthur from Capilano University. AI is embedded in everyday life and ordinary routines—from entertainment and banking to healthcare and hobbies. Because it is hidden, it often escapes accountability. We are shaped as data subjects and our actions are captured, analyzed, and used to determine future choices. Revealing AI experiments with making hidden AI visible.
Predictive text and autocorrect
Spelling and grammar checkers
Recommendation engines
Online shopping
Fraud detection and credit scoring
Smart appliances
Customer service chatbots
Mapping and traffic prediction
Pricing algorithms
Virtual assistants
Security cameras and motion detectors
Weight loss apps
Fitness apps
Shipping and logistics
Facial recognition
Deepfakes and misinformation
In this activity, we made playlists to explore what it means to be a “data subject” and explored how Spotify uses AI to track our actions and shape our tastes using recommendation engines.
In this activity, we made brochures that consider informed consent around the use of clinical AI scribes in healthcare and therapy settings. AI scribes are tools that generate medical notes from real-time conversations that raise questions about privacy, consent, and accuracy.
Participants filled out a consent cards to decide how their work, likeness, and stories would be shared. Participants could change their consent at any time during the workshop, step out of frame during photos or recordings, or withdraw their contributions. Workshop materials (including creative works, photos, and researcher notes) will be shared at academic conferences and in publications. These outputs are stored securely.