2026-11-04 ロイヤルメルボルン工科大学（RMIT）
＜関連情報＞
- https://www.rmit.edu.au/news/all-news/2026/nov/image-based-abuse
- https://www.tandfonline.com/doi/full/10.1080/10447318.2026.2723677
- https://www.tandfonline.com/doi/full/10.1080/1369118X.2026.2613437
- https://www.sciencedirect.com/science/article/pii/S0747563226000324
「あの経験は今でも私を苦しめている」：AI生成画像に基づく性的虐待被害に関する複数地域調査 “That Experience Still Haunts Me to This Day”: A Multi-Region Survey on AI-Generated Image-Based Sexual Abuse Victimization
Nicola Henry,Rebecca Umbach,Renee Shelby &Kwynn Gonzalez-Pons
International Journal of Human–Computer Interaction Published:08 Sep 2026
DOI:https://doi.org/10.1080/10447318.2026.2723677
Abstract
Image-based sexual abuse (IBSA) involves the nonconsensual creation, distribution, or threatened distribution of intimate images. Advances in artificial intelligence (AI) have enabled new forms of IBSA, yet empirical evidence on AI-generated IBSA (AI-IBSA) remains limited. This study addresses this gap through a cross-national survey conducted in July-August 2024 examining the prevalence, nature, and impacts of AI-IBSA across Australia, the United Kingdom, and the United States (n = 7,230). Overall, 15.1% of respondents reported experiences of IBSA involving digitally altered images, including 7.0% who reported AI-IBSA victimization specifically. Victimization was higher among respondents under 35, LGBTQ+, and BIPOC participants, people with disabilities, and men. Despite higher victimization rates among men, women reported a broader range of harms and greater negative emotional and social impacts. Common responses included platform blocking (69.2%) and platform reporting (56.8%). These findings highlight AI-IBSA as an under-recognized harm requiring strengthened prevention interventions, platform governance, and victim-survivor support.
「それでも虐待だ」：AI生成画像に基づく性的虐待に対する地域社会の態度と認識 ‘It’s still abuse’: community attitudes and perceptions on AI-generated image-based sexual abuse
Nicola Henry,Rebecca Umbach ,Renee Shelby ,Gemma Beard & Lisa M. Given
Information, Communication & Society Published: 13 Jan 2026
DOI:https://doi.org/10.1080/1369118X.2026.2613437
Abstract
There are growing concerns about AI-generated image-based sexual abuse (AI-IBSA), also known as nonconsensual sexualized ′deepfakes.′ Empirical research on AI-IBSA, however, remains very limited. This study surveyed 7231 respondents across Australia, the United Kingdom, and the United States to investigate community attitudes and perceptions on AI-IBSA. Through a vignette study, we explored the relationship between public familiarity with AI-IBSA, normative concerns about consent, and context-dependent judgments that vary based on the target’s identity relational status, and how the content was used. Our findings reveal strong condemnation of AI-IBSA, yet respondents demonstrated low familiarity with the technology and their views varied depending on particular contexts. AI-IBSA targeting intimate partners was viewed as more unacceptable than targeting celebrities, and content created solely for personal use was seen as less unacceptable than content intended for distribution. The study highlights the need for approaches that go beyond technical fixes and punitive measures, advocating for a multifaceted response that integrates ethical data governance, digital sexual literacy, and restorative justice approaches.
AI生成画像に基づく性的虐待：3つの地域における加害と消費 AI-generated image-based sexual abuse: Perpetration and consumption across three regions
Rebecca Umbach, Nicola Henry,Renee Shelby,Gemma Stevens,Kwynn Gonzalez-Pons
Computers in Human Behavior Available online 9 February 2026
DOI:https://doi.org/10.1016/j.chb.2026.108935
