Ben Bogart – Biography

Ben Bogart is a Vancouver-based interdisciplinary artist working with generative computational processes (including physical modelling, chaos, feedback systems, evolutionary computation, computer vision and machine learning) and has been inspired by knowledge in the natural sciences (quantum physics and cognitive neuroscience) in the service of an epistemological enquiry. Ben has produced processes, artifacts, texts, images and performances that have been presented at galleries, art festivals and academic conferences in Canada, the United States of America, the United Arab Emirates, Australia, Turkey, Finland, Germany, Ireland, Brazil, Hong Kong, Norway and Spain. Notable exhibitions include  solo shows at the Canadian Embassy at Transmediale in 2017 and the TechLab at the Surrey Art Gallery in 2018. He has been an artist in residence at the Banff Centre (Canada), the New Forms Festival (Canada) and at Videotage (Hong Kong). His research and practise have been funded by the Social Science and Humanities Research Council of Canada, the British Columbia Arts Council and the Canada Council for the Arts.

Ben holds both master’s and doctorate degrees from the School of Interactive Arts and Technology at Simon Fraser University. During his master’s study (2006–2008) he began an artistic enquiry of machine learning and developed a site-specific artwork that uses images captured live in the context of installation as raw material in its ‘creative’ process. In is doctoral work (2009–2014) he made “a machine that dreams” that is framed as both a model of dreaming and a site-specific artistic work manifesting an Integrative Theory of visual mentation developed during his doctorate. Ben’s recent work involves building Machine Subjects that appropriate and reconstruct popular cinematic depictions of artificial intelligence. He is currently embarking on a two year project funded by the Canada Council for the Arts developing a body of work applying machine learning methods to image-making situated in painting history.