The Visual Pollution of the Digital Communication Environment and its Relationship with the Development of Artificial Intelligence (AI) Cover Image
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Визуалното замърсяване на цифровата комуникационна среда и неговата връзка с развитието на изкуствения интелект (AI)
The Visual Pollution of the Digital Communication Environment and its Relationship with the Development of Artificial Intelligence (AI)

Author(s): Krasimir Andonov
Subject(s): Fine Arts / Performing Arts, Visual Arts
Published by: Институт за изследване на изкуствата, Българска академия на науките
Keywords: Joachim Schmid, neural network training; visual garbage recycling; analog and digital photography; AI image generation platforms

Summary/Abstract: The term “visual pollution” generally refers to the problem of oversaturation of the natural and urban environment with eye-catching elements. Some good examples for visual pollution are the billboards, the antennas of mobile operators, the electric poles and wires... The digital revolution in the development of the humanity also brought the possibility of easy capturing and sharing visual content and created the conditions for a “new kind of pollution” – that of the digital communication environment. The huge amount of photographic and video content that is being shared every day into social media (about 12 billion per day) oversaturates viewers’ perceptions and changes their attitude towards works created with the technical representational mediums. At the same time, the problem reflects in another, unexpected direction. “The visual garbage” is the major factor in training AI neural networks. The daily dose of photos in the social networks makes the algorithm for creating false images more and more perfect. This provokes the question – does the era of the post-photography begin? There are already indications of a positive response.

  • Issue Year: 2023
  • Issue No: 4
  • Page Range: 62-71
  • Page Count: 10
  • Language: Bulgarian