Teaching AI
across disciplines.
Visual intelligence belongs between fields. INsVI is developing educational formats that bring artists, designers, researchers, technologists, and students into a shared language of inquiry.
Technical literacy meets visual literacy.
For artists and designers
Understand datasets, model behavior, evaluation, authorship, and the politics of automated vision.
For AI practitioners
Learn from visual analysis, art history, studio practice, aesthetics, and culturally situated interpretation.
For interdisciplinary teams
Build shared methods for asking better questions and documenting research responsibly.
Formats designed around inquiry.
Seminars
Focused discussion linking current research with foundational visual and technical ideas.
Studios and workshops
Practice-led experiments with images, datasets, models, and evaluative methods.
Public programs
Talks, critiques, exhibitions, and demonstrations that make research accessible.
Programs are in development.
Specific dates, faculty, collaborators, eligibility, and registration details will be published only when confirmed. This page describes the educational direction now guiding program development.