This paper analyses three recent works of art that interrogate the relationship between human perception and machine vision: Nadav Assor’s art-documentary Lessons on Leaving Your Body (2014), Muse’s VR music video Revolt (2015), and Erica Scourti’s Body Scan (2015). The goal is to understand how these works present the relationship between human and machine vision. When machines can see us, do we see them as subjects in their own right, or as expansions of our human selves? The paper argues that the three works discussed see machine vision in three different ways: as an expansion of human perception, as a hostile, controlling force that should be destroyed, and as a commercialised force altering or co-constructing the way we view our own hu...
This data paper documents a dataset that captures cultural attitudes towards machine vision technolo...
Our memories can be precious, but they can also be flawed, changed over time to reflect what we want...
This thesis is researching computer vision and algorithmic images grounded in Trevor Paglen`s series...
Commissioned catalogue essay for rAndom International, Studies in Motion, Lunds Konsthall, Sweden, 2...
In this paper we will argue that artistic creations made by artificial minds will most likely lay be...
Augmenting Berger’s Ways of Seeing (1972), this article seeks to define and contextualize the most d...
The landscape of contemporary visual culture and contemporary artistic practices is currently underg...
Current machine vision systems produce a large number of images, many of which are never seen by hum...
Art finds itself infinitely connected to technology, or on an even deeper level, humanity itself is ...
This data paper documents a dataset that captures cultural attitudes towards machine vision technolo...
This thesis exposes how even though modern societies present themselves as a 'succession ofspectacle...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2005.Includes bibliogra...
International audienceThe first decade of the 20th century was marked by the progress in the field o...
Our relationship with machines has evolved, dislocating our connection to the natural world, by look...
The urgency of environmental, security, economic and political crises in the early twenty-first cent...
This data paper documents a dataset that captures cultural attitudes towards machine vision technolo...
Our memories can be precious, but they can also be flawed, changed over time to reflect what we want...
This thesis is researching computer vision and algorithmic images grounded in Trevor Paglen`s series...
Commissioned catalogue essay for rAndom International, Studies in Motion, Lunds Konsthall, Sweden, 2...
In this paper we will argue that artistic creations made by artificial minds will most likely lay be...
Augmenting Berger’s Ways of Seeing (1972), this article seeks to define and contextualize the most d...
The landscape of contemporary visual culture and contemporary artistic practices is currently underg...
Current machine vision systems produce a large number of images, many of which are never seen by hum...
Art finds itself infinitely connected to technology, or on an even deeper level, humanity itself is ...
This data paper documents a dataset that captures cultural attitudes towards machine vision technolo...
This thesis exposes how even though modern societies present themselves as a 'succession ofspectacle...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2005.Includes bibliogra...
International audienceThe first decade of the 20th century was marked by the progress in the field o...
Our relationship with machines has evolved, dislocating our connection to the natural world, by look...
The urgency of environmental, security, economic and political crises in the early twenty-first cent...
This data paper documents a dataset that captures cultural attitudes towards machine vision technolo...
Our memories can be precious, but they can also be flawed, changed over time to reflect what we want...
This thesis is researching computer vision and algorithmic images grounded in Trevor Paglen`s series...