如何停止打猴子游戏：映射促进AI生成非同意亲密图像的技术生态系统
How to Stop Playing Whack-a-Mole: Mapping the Ecosystem of Technologies Facilitating AI-Generated Non-Consensual Intimate Images
AI总结：
本文提出首个全面的AI生成非同意亲密图像技术生态系统，通过整合百余份资料，分类11类技术，分析其在创建、传播、发现及 monetization 中的作用，并通过案例研究和法律分析展示其应用价值。
摘要：
过去十年，生成式AI技术的快速发展显著扩大了AI生成非同意亲密图像（AIG-NCII）的可及性，这是一种基于图像的性虐待形式，对女性和女孩造成不成比例的伤害和沉默。行业、政策、学术界和民间社会存在诸多积极努力，但缺乏共享的、一致的思维模型，无法明确将所针对的技术置于庞大、互联且不断演变的技术生态系统中。因此，干预措施仍孤立且难以评估和比较，导致反复的“打猴子”循环。本文贡献了首个全面的AIG-NCII技术生态系统，映射和分类11类促进AIG-NCII创建、传播、扩散和发现、基础设施支持及 monetization 的技术。首先，通过整合百余份来自研究人员、记者、倡导者、政策制定者和技术专家的原始资料，构建并可视化生态系统。然后，通过两个详细 walkthrough 展示生态系统在1）通过Grok案例研究理解新的AIG-NCII危害，以及2）通过美国联邦法和63个州法律映射更清晰的技术政策景观中的实用性。最后，提出未来AIG-NCII研究的愿景，细化生态系统边缘，建议研究技术间的关键关系及不同干预的潜在涟漪效应。我们的目标是产生一个AIG-NCII技术生态系统，为利益相关者提供清晰、共享的术语和框架，以在AIG-NCII预防的未来中更加清晰和前瞻性地行动。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
