Version 1
: Received: 14 July 2021 / Approved: 14 July 2021 / Online: 14 July 2021 (11:49:38 CEST)
How to cite:
Neethirajan, S. Beyond Deepfake Technology Fear: On its Positive Uses for Livestock Farming. Preprints2021, 2021070326. https://doi.org/10.20944/preprints202107.0326.v1
Neethirajan, S. Beyond Deepfake Technology Fear: On its Positive Uses for Livestock Farming. Preprints 2021, 2021070326. https://doi.org/10.20944/preprints202107.0326.v1
Neethirajan, S. Beyond Deepfake Technology Fear: On its Positive Uses for Livestock Farming. Preprints2021, 2021070326. https://doi.org/10.20944/preprints202107.0326.v1
APA Style
Neethirajan, S. (2021). Beyond Deepfake Technology Fear: On its Positive Uses for Livestock Farming. Preprints. https://doi.org/10.20944/preprints202107.0326.v1
Chicago/Turabian Style
Neethirajan, S. 2021 "Beyond Deepfake Technology Fear: On its Positive Uses for Livestock Farming" Preprints. https://doi.org/10.20944/preprints202107.0326.v1
Abstract
Deepfake technologies are known for the creation of forged celebrity pornography, face and voice swaps, and other fake media content. Despite the negative connotations the technology bears, the underlying machine learning algorithms have a huge potential that could be applied to not just digital media, but also to medicine, biology, affective science, and agriculture, just to name a few. Due to the ability to generate big datasets based on real data distributions, deepfake could also be used to positively impact non-human animals such as livestock. Generated data using Generative Adversarial Networks, one of the algorithms that deepfake is based on, could be used to train models to accurately identify and monitor animal health and emotions. Through data augmentation, using digital twins, and maybe even displaying digital conspecifics where social interactions are enhanced, deepfake technologies have the potential to increase animal health, emotionality, sociality, animal-human and animal-computer interactions and thereby animal welfare, productivity, and sustainability of the farming industry.
Keywords
Deepfake; Animal Welfare; Animal Emotions; Artificial Intelligence; Digital Farming; Animal Based Measures; Emotion Modeling; Livestock Health
Subject
Biology and Life Sciences, Biochemistry and Molecular Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
