Photo BOO-th: Designing Visceral Encounters with Synthetic Intimate Imagery

  • Alejandra Gómez Ortega
  • , Hüseyin Uğur Genç
  • , Willem van der Maden
  • , Rob Comber
  • , Airi Lampinen
  • , Madeline Balaam

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstract

How would you feel if you saw an image of yourself doing something you didn’t do? How would you feel knowing said image was created without your consent? For many people, especially women, these questions are not just hypothetical. Technological advances in Artificial Intelligence (AI), specifically Generative AI, have made it extremely easy and cheap to generate and distribute (non-consensual) synthetic images and videos that depict real people’s voices, faces, or bodies (i.e., deepfakes). Non-consensual synthetic imagery often depicts intimate and sexually explicit scenarios and is considered a form of sexual abuse. We demonstrate Photo BOO-th, an interactive installation designed to turn the creation of non-consensual intimate imagery into a visceral, creepy experience. Through this experience, we invite attendees to grapple with the questions above, discuss the societal harms associated with creating and distributing non-consensual synthetic imagery, and critique how consent is understood and enacted between people and technology.
OriginalsprogEngelsk
TitelDIS 2025 - Companion Proceedings of the 2025 ACM Designing Interactive Systems Conference: Designing for a Sustainable Ocean
ForlagAssociation for Computing Machinery
Publikationsdato5 jul. 2025
Sider231-235
ISBN (Trykt)9798400714863
DOI
StatusUdgivet - 5 jul. 2025
BegivenhedACM Designing Interactive Systems Conference (DIS) 2025 - Madeira, Portugal
Varighed: 5 jul. 20259 jul. 2025
https://dis.acm.org/2025/

Konference

KonferenceACM Designing Interactive Systems Conference (DIS) 2025
LokationMadeira
Land/OmrådePortugal
Periode05/07/202509/07/2025
Internetadresse

Emneord

  • Consent
  • Deepfake Pornography
  • Demo
  • Generative AI
  • Non-Consensual Intimate Imagery

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