This course with Emily Pellicano and Mark Linder throughout the 2023-2024 academic school year at Syracuse University focused on "Synthetic Imagination", another term for Artificial Intelligence.
The research began with understanding how QR codes work and then utilizing AI to reimagine what they could look like while still being legible. We then started to experiment how to take these 2D digital assets into the real world. The five images below are part of my tape trial to see how the built environment can become the background of the QR code while also trying to remove the pixelization of a traditional quick response (QR) code.
After some more exploration and group deliberation, we went back to working digitally and with AI to more creatively investigate these data embedded surfaces. We worked at the scale of the material to the scale of a building or street scene. Some may not be readable by a machine but still offer insights in embedding data into the environment where different physical elements are depicted.
We created many images with AI to further engage a possible aesthetic of the city environment that had visual data for both humans and machines. Below are some merged variations of the images depicting these data rich environments as a possible machine or machine assisted view.
My main role in the group focused on research and archiving. I design and manage the course website and group website as well as designed the QR codes. I also helped to edit the overall class video and the group video within the websites.
Class Website QR
Group Website QR