论文标题
社交匹配应用中的用户安全性人类互动：涉及边缘化用户的设计
Human-AI Interaction for User Safety in Social Matching Apps: Involving Marginalized Users in Design
论文作者
论文摘要
在该职位上，我们打算倡导参与式设计方法和移动社会匹配应用程序，作为探索有益于边缘化群体的新型人类互动的成熟环境。 Tinder和Bumble等移动社交匹配应用程序使用AI介绍用户，以进行快速面对面的会议。这些用户发现和随后的互动对边缘化用户人口统计，尤其是妇女和LGBTQIA+社区构成了性暴力和其他危害的不成比例风险。我们希望扩展AI在这些应用程序中的作用，以确保用户在在线和离线模式中与陌生人互动时确保他们的安全。为此，我们正在使用参与式设计方法来增强女性和LGBTQIA+个人的能力，以设想未来的人类互动，这些互动在社交匹配的应用程序使用过程中优先考虑其安全性。在一项研究中，识别为LGBTQIA+或妇女的利益相关者正在重新设计约会应用程序，以调解性交交换，从而减轻性暴力。在另一项研究中，妇女正在设计多功能，机会主义的社交匹配应用程序，这些应用可以使妇女的安全。
In this position paper we intend to advocate for participatory design methods and mobile social matching apps as ripe contexts for exploring novel human-AI interactions that benefit marginalized groups. Mobile social matching apps like Tinder and Bumble use AI to introduce users to each other for rapid face-to-face meetings. These user discoveries and subsequent interactions pose disproportionate risk of sexual violence and other harms to marginalized user demographics, specifically women and the LGBTQIA+ community. We want to extend the role of AI in these apps to keep users safe while they interact with strangers across online and offline modalities. To do this, we are using participatory design methods to empower women and LGBTQIA+ individuals to envision future human-AI interactions that prioritize their safety during social matching app-use. In one study, stakeholders identifying as LGBTQIA+ or women are redesigning dating apps to mediate exchange of sexual consent and therefore mitigate sexual violence. In the other study, women are designing multi-purpose, opportunistic social matching apps that foreground women's safety.
