Abstract
The article provides current examples (as of August 2023) of the spread of visual fakes created as a result of using a neural network. Among the socio-legal risks associated with this phenomenon, the following are considered the presence of an effective tool for creating disinformation; the relative ease of using a neural network; the uncontrolled dissemination of the product; undermining of public confidence in the reliability of images and news; a threat to the honour, dignity, and reputation of individuals. The commitment of many national governments to the idea of prohibitions and restrictions on the dissemination of deliberately false information on the Internet, as opposed to the Network Neutrality movement formed in Western society, is stated. The author describes the difference between two basic approaches to countering fakes, conventionally designated as public-legal and private-legal. Russian legislation combines elements of both approaches – state coercion in the form of punishment with the possibility of filing defamation lawsuits. The analysis of the envisaged measures of civil, administrative and criminal liability is supplemented by an indication of gaps in relation to visual fakes created with the help of a neural network. The author presents her own vision of the formulation of the most important issues in this area and outlines possible vectors for their further analysis.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
