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arXiv 2406.07556cs.CY
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技术与社会研究的社区驱动方法:CCC研讨会报告

Community Driven Approaches to Research in Technology & Society CCC Workshop Report

Suresh Venkatasubramanian, Timnit Gebru, Ufuk Topcu, Haley Griffin, Leah Namisa Rosenbloom, Nasim Sonboli

AI总结:

本CCC研讨会报告提出技术与社会研究支持社区的三类路径、七项协作机制及面向社区研究的七条建议,并为资助方、高校和研究者给出具体指导。

摘要:

基于我们的研讨会活动,我们概述了研究支持社区需求的三种方式:(1)描绘参与者与生态系统以及危害图景的生态系统图谱;(2)反制编程,即利用社区所遭受的同类监控工具来观察实施监控的实体,从而有效保护人们免受监控,并开展合乎伦理的数据收集以衡量这些技术的影响;(3)致力于积极愿景和赋权工具,使技术能够带来益处而非伤害。为了在上述方向上有效协作,我们概述了有效协作的七项重要机制:(1)绝不期望社区成员提供无偿劳动;(2)确保所有协作者目标一致;(3)将社区成员提升到领导职位;(4)理解没有任何群体是铁板一块;(5)建立共同语言;(6)从一开始就透明地讨论项目的组织角色和目标;(7)建立危害救济途径。我们建议任何从事社区本位研究的人:(1)从社区定义的解决方案出发;(2)提供数字服务/信息收集机制的替代方案;(3)禁止有害的自动化系统;(4)透明说明任何系统影响;(5)最小化并保护数据;(6)在部署前主动证明系统安全且有益;(7)直接向社区合作伙伴提供资源。在报告的建议部分,我们还为资助机构、学术机构和个体研究人员提供了具体建议。

英文摘要:

Based on our workshop activities, we outlined three ways in which research can support community needs: (1) Mapping the ecosystem of both the players and ecosystem and harm landscapes, (2) Counter-Programming, which entails using the same surveillance tools that communities are subjected to observe the entities doing the surveilling, effectively protecting people from surveillance, and conducting ethical data collection to measure the impact of these technologies, and (3) Engaging in positive visions and tools for empowerment so that technology can bring good instead of harm. In order to effectively collaborate on the aforementioned directions, we outlined seven important mechanisms for effective collaboration: (1) Never expect free labor of community members, (2) Ensure goals are aligned between all collaborators, (3) Elevate community members to leadership positions, (4) Understand no group is a monolith, (5) Establish a common language, (6) Discuss organization roles and goals of the project transparently from the start, and (7) Enable a recourse for harm. We recommend that anyone engaging in community-based research (1) starts with community-defined solutions, (2) provides alternatives to digital services/information collecting mechanisms, (3) prohibits harmful automated systems, (4) transparently states any systems impact, (5) minimizes and protects data, (6) proactively demonstrates a system is safe and beneficial prior to deployment, and (7) provides resources directly to community partners. Throughout the recommendation section of the report, we also provide specific recommendations for funding agencies, academic institutions, and individual researchers.

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。

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