CODEHACK (2018)
Concept: An experimental artist book that reframes ephemeral, app-based AI experiments as archival art objects. By embedding a 32 GB USB drive of facial manipulation and style bot outputs into a hand-bound clamshell box, CODEHACK asks what happens when unstable, disposable digital artifacts are given permanence and treated as collectible works. The project interrogates how technologies of surveillance, beautification, and algorithmic “improvement” shape human identity and authorship.
Context: Developed during graduate research into computer vision systems at Columbia College Chicago. Functions as both a physical artist book and a digital archive, bridging material craft with computational exploration.
Process & Tools: Constructed a custom clamshell box using bookbinding techniques. Curated a 32 GB USB archive of manipulated self-portraits and experiments generated with early consumer-facing AI tools, including StyleBot, Affectiva, and ModiFace. Outputs range from subtle adjustments to grotesque distortions, reflecting the instability of machine-driven beauty standards.
Contribution: Sole author/artist. Responsible for concept, bookbinding, digital experiments, archival curation, and integration of physical and digital components.