DOI

© ECIAIR 2020.All right reserved. In many cases, deepfakes have become a source of joy, fun and innocent tricks, as well as being a perfect example of the way impressive advances in technology have helped people, with respect to education, health care and other areas. However, the malicious use of deepfakes (MUD) is a current social problem which threatens to do much more damage to individuals, democratic institutions, social stability and international security in the future. The author aims to analyze the current practice of MUD, its role in the destabilization of national psychological security and political stability and possible ways of detecting and neutralizing MUD. The systematic approach adopted in this study seeks to avoid one-sided assessments, rather looking to give an objective analysis of the interrelated aspects of the development and use of deepfakes. The unity of opposites is the central category of dialectics. In dialectical contradictions, the content of the opposites forming them is not strictly deterministic or unambiguous because they are in a state of change and self-development. The application of the dialectical method suggests that any phenomenon should be considered in the duality of its properties and characteristics to find contradictions and mutual disposition (e.g. objective connection, unity, dependence). This is particularly important for our case, since we are dealing with dual-use technology which, because of the nature of social relations in modern society, can be deliberately used to either benefit or harm people. The paper proves that due to the widespread availability of internet technologies, the cheapness, variety of forms, and the growing quality of deepfakes, they pose a growing threat to democracy and political stability. However, there is a wide range of socially useful applications of deepfakes which, in our opinion, makes it undesirable to apply a complete ban on the production and distribution of deepfakes. Through deepfakes (in the context of other measures), false targets can be identified for criminals and the safety of potential victims of criminal actions is thereby increased.
Язык оригиналаанглийский
Название основной публикацииProceedings of the European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2020
Страницы100-107
Число страниц8
DOI
СостояниеОпубликовано - 1 янв 2020
СобытиеEuropean Conference on the Impact of Artificial Intelligence and Robotics - Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Португалия
Продолжительность: 22 окт 202023 окт 2020
https://www.academic-conferences.org/conferences/eciair/

конференция

конференцияEuropean Conference on the Impact of Artificial Intelligence and Robotics
Сокращенное названиеECIAIR 2020
Страна/TерриторияПортугалия
ГородLisbon
Период22/10/2023/10/20
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