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Art In America Generative Art The History And Future Of Creative Machines January 2020 Various Authors

  • SKU: BELL-33776508
Art In America Generative Art The History And Future Of Creative Machines January 2020 Various Authors
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Art In America Generative Art The History And Future Of Creative Machines January 2020 Various Authors instant download after payment.

Publisher: Penske Media Corporation
File Extension: PDF
File size: 29.06 MB
Pages: 100
Author: Various Authors
Language: English
Year: 2020

Product desciption

Art In America Generative Art The History And Future Of Creative Machines January 2020 Various Authors by Various Authors instant download after payment.

"Generative Art
It crossed my mind that I might be able to introduce this issue on generative art—work created using automated systems of various kinds—by letting a predictive text algorithm compose most of this note. So pervasive has machine learning become in recent years that “autotext,” a technology that once produced laughably clumsy suggestions for email responses, has become an indispensable part of my workday. And though the technology that gently nudges me to write better, or at least more courteous, emails proved to be not quite self-aware enough to summarize an issue of an art magazine, it may be only a matter of time before I have a robot collaborator.
Artificial intelligence is altering simple routines while driving more consequential social developments by enabling largescale data mining and ubiquitous surveillance. Artists adopting this technology find themselves simultaneously blessed and cursed. Their work has an instant hook, one that can be highly marketable. Any creation, however crude, can be made to seem urgent if it suggests a connection, however tenuous, to the
powerful AI technology that just might lead us to a Terminatorstyle apocalypse. In such a context, nuanced insights are harder to perceive.
The contributors to this issue neither fall for the hype of AI art nor discount how significant this technology might be, in part because they detail the long history behind seemingly novel developments. Lindsay Caplan compares the work of art theorist Max Bense and artist Gustav Metzger, both working in Europe in the 1960s, who took diametrically opposed views on how computers could transform aesthetic production. In her study,
Caplan shows how technological developments always derive meaning from their social and political contexts. In our own time, artists employing AI methods must negotiate their relationships to big tech companies, working with their products while maintaining critical stances..."

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