arXiv cs.CY· Michelle L. Ding, Harini Suresh, Suresh Venkatasubramanian·· 13 小时前AI 评分34
如何跳出“打地鼠”困局：绘制 AI 生成非自愿私密影像技术生态图谱
How to Stop Playing Whack-a-Mole: Mapping the Ecosystem of Technologies Facilitating AI-Generated Non-Consensual Intimate Images
AI 导读
研究者构建了首个 AIG-NCII 技术生态图谱，将助长此类影像创作、传播、基础设施支持与变现的技术归为 11 类，基于逾百份一手资料绘制。论文以 Grok 案例演示该图谱如何解析新型危害，并用美国联邦法及 63 项州法梳理技术政策版图。该研究即将发表于 ACM EAAMO 2026。
正文 · 原文
Abstract:The last decade has witnessed a rapid advancement of generative AI technology that significantly scaled the accessibility of AI-generated non-consensual intimate images (AIG-NCII), a form of image-based sexual abuse that disproportionately harms and silences women and girls. There is a patchwork of commendable efforts across industry, policy, academia, and civil society to address AIG-NCII. However, these efforts lack a shared, consistent mental model that clearly situates the technologies they target within the context of a large, interconnected, and ever-evolving technological ecosystem. As a result, interventions remain siloed and are difficult to evaluate and compare, leading to a reactive cycle of whack-a-mole. In this paper, we contribute the first comprehensive AIG-NCII technological ecosystem that maps and taxonomizes 11 categories of technologies facilitating the creation, distribution, proliferation and discovery, infrastructural support, and monetization of AIG-NCII. First, we build and visualize the ecosystem through a synthesis of over a hundred primary sources from researchers, journalists, advocates, policymakers, and technologists. Then, we conduct two detailed walkthroughs to demonstrate the usefulness of the ecosystem in 1) making sense of new AIG-NCII harms using a case study of Grok and 2) mapping a clearer tech policy landscape using U.S. federal law and 63 state laws. We conclude with a vision for future AIG-NCII research that refines the edges of the ecosystem, recommending researchers to study critical relationships between technologies and potential ripple effects from different interventions. Our goal is to produce an AIG-NCII technological ecosystem that provides a clear, shared terminology and framework for stakeholders to move into the future of AIG-NCII prevention with clarity and foresight.
| Comments: | Forthcoming in the Sixth ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (ACM EAAMO 2026) |
| Subjects: | Computers and Society (cs.CY); Human-Computer Interaction (cs.HC) |
| Cite as: | arXiv:2602.04759 [cs.CY] |
| (or arXiv:2602.04759v3 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2602.04759 arXiv-issued DOI via DataCite |
Submission history
From: Michelle L. Ding [view email]
[v1]
Wed, 4 Feb 2026 16:58:05 UTC (1,786 KB)
[v2]
Fri, 15 May 2026 16:12:06 UTC (910 KB)
[v3]
Tue, 20 Oct 2026 20:44:30 UTC (1,755 KB)
来源：arXiv cs.CY · arxiv.org