woms

This is a website for a growing collection of activities for Art & Design teachers to share ideas which explore current developments in image-based AI. Our interest is how both humans and machines are taught to see, in turn how visual culture is being transformed by developments in computer vision. We take inspiration from John Berger's Ways of Seeing to provoke some critical questions and creative pedagogy.

ACTIVITY 1 The Sleep of Reason

ACTIVITY 2 Inside the Black Box of AI

ACTIVITY 3 Make Like a Machine

ACTIVITY 4 Exploring Cultural Bias

ACTIVITY 5 Using AI to Develop Ideas

With contributions from Yasmine Boudiaf (Justice Matrix), Yugyoung Choi (UCL IoE), Geoff Cox (CSNI), Annie Davey (UCL IoE), Dean Kenning (Artist), Nicolas Malevé (AU), Makaila McKenzie (Heartlands High School), Janice McLaren (TPG), Nikoletta Papaxenophontos (St. Paul’s Way School), and James Stevenson (Forest School).

This resource is derived from Learning Experiments in Computer Vision and Visual Literacy, a public engagement project initially funded by The Alan Turing Institute, as part of a research collaboration between Centre for the Study of the Networked Image (CSNI) at London South Bank University, UCL Institute of Education, The Photographers' Gallery, and participating teachers.

Website development by Tim Fransen (CSNI) with support from mmm.

Further details on the project visit our project wiki » WAYS OF [MACHINE] SEEING