Deep fake

Samir Bhowmik, Jukka Hautamäki

Research output: Artistic and non-textual formExhibitionArt in coproductionpeer-review

Abstract

"DEEP FAKE" includes the work by Annette Markham, Samir Bhowmik & Jukka Hautamaki, Chris Combs, Derek Curry & Jennifer Gradecki, Dasul Kim, Eli Joteva & Provides Ng & Ya Nzi, Eric Anderson, Heather Lowe, Henry F. Brown, Ian Heisters, Janna Avner, Jeroen van Loon, Liliana Farber, Bruno Moreschi & Gabriel Pereira, Laine Rettmer & Isabel Beavers, and Tyler Bohm.

Panic Breeder (Samir Bhowmik & Jukka Hautamaki) presents a quasi-nature documentary of imaginary fantastical species as the future inhabitants of the Baltic Sea. Taking inspiration from the evolution of species theorized by Charles Darwin, it comments on the iterative and adversarial capabilities of ArtiPcial Intelligence to probe the terrifying future of the “survival of the fakest”. The artwork uses GAN (Generative Adversarial Network), a class of machine learning systems, where two neural networks (Generative & Discriminative) compete with each other for several training sessions. The trainings utilize a large dataset of extinct and endangered birds of the Baltic Sea to generate new images. The animation created from these fake images presents an illusory transformation and evolution of the species. Furthermore, by quantifying the energy consumption of machine learning, from among the machine-generated breeding a singular creature is manifested in physical form. In this Pctional scenario, the loss of species is counter-balanced by the possibilities of AI-generated creatures to act as a temporary, if not futile antidote to climate change panic and anxiety.
Original languageEnglish
Place of PublicationLos Angeles
Publication statusPublished - 15 Nov 2020
MoE publication typeF2 Public partial realisation of a work of art
EventDeep Fake Exhibition: Sci-Art Initiative - 808 N. La Brea Ave, Inglewood, CA 90302, Los Angeles, United States
Duration: 15 Nov 20205 Jan 2021
http://www.sciartinitiative.org/deep-fake.html?fbclid=IwAR1F7cAAuYG-Zy3_sE5aXTfkcKv7gfUEjuSbBEVaCOSJDd34p36WN__mtSQ

Keywords

  • Artificial Intelligence (AI)
  • Climate Change
  • Biodiversity

Field of art

  • Film

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