How do computers change the way we see the world? This special issue brings together researchers from a wide range of disciplines to explore the entanglement of machines and seeing from new critical perspectives.

This special issue of AI & Society seeks to explore, half a century after John Berger's Ways of Seeing, how the ideas therein can be understood in the light of state-of-the-art technical developments in machine vision and algorithmic learning: and what and how we see and know is further unsettled.

Submissions may include, but are not limited to:

• how developments in machine vision morph or unsettle the relations between what we see and know.
• the social and political implications of machine vision and of the automation of the image; images by machines for machines.
• visual-algorithmic hegemony, changed social dynamics and aesthetic judgement.
• how political and artistic discussion can shape scientific research in the field of machine learning and especially deep learning.
• the wider discussion on ‘learning’; epistemological and pedagogical issues inspired by visual and algorithmic literacy.
• consideration of the types of seeing that machine vision does; enhanced understanding of images, classification systems and curation in relation to taste and its statistical formation.
• ways of seeing framed by the notion of eye and gaze, particularly in relation to authority and disembodiment.
• visual and computational processes of subjectivation, political agency and algorithmic governmentality.

Edited by Mitra Azar (Aarhus University), Geoff Cox (University of Plymouth/Aarhus University) and Leonardo Impett (Max Planck Institute for Art History, Rome).

Abstracts of a maximum of 750 words should be submitted through the online submission system (https://cmt3.research.microsoft.com/WMS2019/) no later than 30 July 2019 for a double-blind peer review.