Appel à publication : « Ways of Machine Seeing », Revue AI & Society (2019)

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.

Abstracts of a maximum of 750 words should be submitted through the online submission system ( no later than 30 July 2019 for a double-blind peer review.

Appel à communication en PDF

Ways of Machine Seeing
Special Issue of Springer AI & Society.

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


AI & Society: Knowledge, Culture and Communication, is an International Journal publishing refereed scholarly articles, position papers, debates, short communications, and reviews of books and other publications. Established in 1987, the Journal focuses on societal issues including the design, use, management, and policy of information, communications and new media technologies, with a particular emphasis on cultural, social, cognitive, economic, ethical, and philosophical implications. AI & Society has a broad scope and is strongly interdisciplinary. We welcome contributions and participation from researchers and practitioners in a variety of fields including information technologies, humanities, social sciences, arts and sciences. This includes broader societal and cultural impacts, for example on governance, security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people. Co-authored articles from diverse disciplines are encouraged.

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