Abject Visualization: A Duo Auto-netnography in the Legal Online Adult Entertainment Generative AI Cyborg Context
Files
Date
2025-01-07
Authors
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
2719
Ending Page
Alternative Title
Abstract
Auto-netnography provides a nuanced understanding of human interactions with a generative visual AI platform, through an in-depth analysis of over 900 AI-generated cyborg adult entertainment images collected by a two-person netnographer team during a 15-month period of immersive engagement. After describing and developing the method and findings, including positioning the two researchers’ perspectives and queering the method, the research introduces, unpacks, and then inverts "abject visualization" to describe how AI images transgress and provoke. Likening concerns over humanity in the age of AI to LGBTQ threats to heteronormativity, this study challenges a range of dominant positions prevalent in the system sciences by emphasizing the need for research that delves deeply and longitudinally into the affective responses to technological systems and the complex intersection of human and artificial desires they inhabit.
Description
Keywords
Netnography in System Sciences Research, adult entertainment, artificial intelligence, desire, netnography
Citation
Extent
10
Format
Geographic Location
Time Period
Related To
Proceedings of the 58th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.