We are learning machines, des machines à apprendre, des machines apprenantes.

Learning Machines is a research-creation collective based in the Department of Art Education at Concordia University (Tiohtià:ke/Montréal). Together, we experiment with what pedagogy might become when humans and machines think, feel, and fabulate together.

Our work unfolds through collective experimentation, public residencies, performance, speculative media, and collaborative workshops. From the black-boxed logics of AI to the recursive feedback loops of algorithmic instruction, we ask:

• What can today’s “learning machines” teach us about accessible art education? 

• How might thinking-making with algorithms, computational tools, artificial intelligence(s), and machine learning protocols reorient questions of accessibility in art education? 

• What can today’s “learning machines” teach us about thinking, intelligence, artificiality, embodied cognition, techno-human relations, and, ultimately, learning? 

• And, what possibilities, but also limitations, do creative and collective modes of research offer in navigating the questions raised by today’s “learning machines”?