Learning Machines

// Research-creation Project // 2024-2025

Learning Machines is a research-creation project that explores the interconnected relationships between today’s emerging technologies (AI, algorithms, machine learning, computation) and the machinic formations of subjectivity through which pedagogy becomes perceptible, legible, productive, and thus valuable within contemporary educational milieus. Through experimental research-creation practices and productions, the Learning Machine team crafts pedagogical fabulations that explore intelligence, artificiality, embodied cognition, and techno-human relations in order to reorient approaches to accessibility in the context of today’s computational turn.

This project is funded by Concordia University's Faculty of Fine Arts Faculty Research Development Program (FRDP) and is supported by a team of PhD and MA students, including Jihane Mossalim, Sarah Bélanger-Martel, Natalie Pavlik, and Azza Hussein.

PAST PROJECTS

On Saturday, February 8, 2024, from 1–2 PM EST, the learning machines presented a one-hour live-streamed performance that dove headfirst into the enigmatic world of AI, algorithms, and computational tools. During a week-long research-creation residency at Concordia University’s Black Box, we experimented with the unseen mechanisms that shape today’s learning machines—systems that simultaneously reveal and conceal how knowledge is made and how we, as subjects, are formed.