Deepfake Technology and Current Legal Status of It

DOI

10.2991/978-94-6463-040-4_194How to use a DOI?

Keywords

Deepfake; Autoencoder; Generate Adversarial Networks; Legal Regulation

Abstract

Deepfake refers to the artificial intelligence technology that splices individual sounds, facial expressions, and body movements into false content with the help of neural network technology. It makes it possible to tamper with or generate highly realistic audio and video contents and make it difficult to identify, which observers fail to distinguish with the naked eye. Therefore, the abuse of deepfake technology will accelerate human beings into the “post-truth era”, which will cause a series of social risks, endangering personal legitimate rights and interests, social and public security, and even national security. This paper provides an overview of the main algorithm model—Autoencoder and Generative Adversarial Network—of deepfake, and then points out the existing risks and legal regulation of deepfake technology.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Min Liu
AU  - Xijin Zhang
PY  - 2022
DA  - 2022/12/27
TI  - Deepfake Technology and Current Legal Status of It
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1308
EP  - 1314
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_194
DO  - 10.2991/978-94-6463-040-4_194
ID  - Liu2022
ER  -