"We're utterly ill-prepared to deal with something like this": Teachers' Perspectives on Student Generation of Synthetic Nonconsensual Explicit Imagery

要旨

Synthetic nonconsensual explicit imagery, also referred to as "deepfake nudes", is becoming faster and easier to generate. In the last year, synthetic nonconsensual explicit imagery was reported in at least ten US middle and high schools, generated by students of other students. Teachers are at the front lines of this new form of image abuse and have a valuable perspective on threat models in this context. We interviewed 17 US teachers to understand their opinions and concerns about synthetic nonconsensual explicit imagery in schools. No teachers knew of it happening at their schools, but most expected it to be a growing issue. Teachers proposed many interventions, such as improving reporting mechanisms, focusing on consent in sex education, and updating technology policies. However, teachers disagreed about appropriate consequences for students who create such images. We unpack our findings relative to differing models of justice, sexual violence, and sociopolitical challenges within schools.

受賞
Honorable Mention
著者
Miranda Wei
University of Washington, Seattle, Washington, United States
Christina Yeung
University of Washington, Seattle, Washington, United States
Franziska Roesner
University of Washington, Seattle, Washington, United States
Tadayoshi Kohno
University of Washington, Seattle, Washington, United States
DOI

10.1145/3706598.3713226

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713226

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Content Moderation

Annex Hall F206
7 件の発表
2025-04-28 23:10:00
2025-04-29 00:40:00
日本語まとめ
読み込み中…