Ben Bogart | Conference | Chantier IA

Machine learning as relational and situated practice: A survey of artistic engagements with AI since 2006

This presentation will cover a survey of Ben Bogart’s artistic works making use of Machine Learning (ML) from 2006 to the present. Bogart’s use of ML began as a strategy for creating systems that are “capable of forming a relation to [their] context.” This survey will follow two major trajectories in their work where ML is used to situate digital processes in visual geographical and popular culture contexts. Since 2019 Bogart has been diffracting their work and thought through Karen Barad’s theory of Agential Realism, where constructive interference produces an emphasis on boundary-making and relationality.