Year: 2025
Type: article
Abstract: The emergence of generative artificial intelligence (AI) tools which can produce images and video from text inputs has prompted questions about the impacts of the technology on the pornography industry. While there has been extensive research into the implications of pornographic deepfakes, work which addresses the impacts of generative AI images and video that do not mimic a specific person is presently limited. Authenticity in pornography refers to multiple concepts, ranging from the depiction of non-simulated acts to the representation of ‘authentic’ pleasure. Multiple types of pornographic authenticity add value to a scene and can enhance the viewers’ enjoyment. This article argues that generative AI is unlikely to significantly disrupt the pornography industry, because the material it produces lacks a kind of auratic authenticity which pornography that depicts human subjects does possess, ultimately undermining the pleasure derived by the viewer.
Source: Porn Studies
Author: Gwyn Easterbrook-Smith
Institution: Massey University
Language: English
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411352466