Preferred name: Brandon Alvarado
Statement:
“A.I.Art in the Age of Machine Learning” is a self-generated research project that aims to discover creative opportunities and aesthetics in the overlap between analog and digital processes. The project began with “Rulebooks” an ongoing artist book series created during a mentorship with The Minnesota Center for Book Arts and Jerome Foundation in 2015.

Rulebooks takes inspiration from Studio Moniker’s “Conditional Design”, and infuses traditional media (bookbinding, printmaking) with digitally-minded methodologies: computation, repetition, machine learning, procedural-generation. The series currently includes 5 editions and has been included in a few U.S. galleries.

Using my experience as a starting point, the goal is to build on similar thinkers exploring the dichotomy between digital/analog, data and humanism (Taeyoon Choi, Luna Maurer, Giorgia Lupi) with the hope of finding and recording a body of emergent work that might subvert the connotations of data and technology in its relation to ourselves.

↓ During the course of the project, each month I'll use my findings to inspire rulesets and concepts for new Rulebooks/projects.

Now: →Research known thinkers/creatives
A little later (month 1–2): →Research new thinkers/projects
A little more later (month 3–4): →Research history for precedents
Later (month 4): →Compile and organize current research
A little later (month 5–6): →Research themes in game theory, statistics, data science
Even later (month 7–9): → Continue to search for relevant and emergent work
Much later (month 9–10): →Organize current theory and creative work
Way later (month 10): →Finalize thoughts in a written statement/essay.

↓ Research and ideation continue with my body of work.