超越开放获取迈向开放：用户通过3个开放式AI合作伙伴的旅程
Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives
摘要：
开放式人工智能（开源AI）合作为如何在资源充足的技术公司之外开发AI以及谁可以成为该过程的一部分提供了替代途径。为了了解它们如何以及为什么工作，以及它们为景观带来了什么额外的功能，我们关注三个这样的社区，每个社区都专注于围绕AI的不同类型的活动：构建模型（BigScience研讨会），工具和工作方式（图灵之路）以及生态系统（Mozilla Festival的Building Trustworthy AI Working Group）。首先，我们记录了促进这些分散的志愿者领导的团队的社区结构，比较了推动每个团队实现其特定目标的协作风格。通过与社区领导者的访谈，我们绘制了用户旅程，了解成员如何发现，加入，贡献和参与。最终，本文旨在强调通过这些合作出现的人工智能工作和工作人员的多样性，以及他们如何为人工智能领域提供更广泛的开放实践。
英文摘要：
Open Artificial Intelligence (Open source AI) collaboratives offer alternative pathways for how AI can be developed beyond well-resourced technology companies and who can be a part of the process. To understand how and why they work and what additionality they bring to the landscape, we focus on three such communities, each focused on a different kind of activity around AI: building models (BigScience workshop), tools and ways of working (The Turing Way), and ecosystems (Mozilla Festival's Building Trustworthy AI Working Group). First, we document the community structures that facilitate these distributed, volunteer-led teams, comparing the collaboration styles that drive each group towards their specific goals. Through interviews with community leaders, we map user journeys for how members discover, join, contribute, and participate. Ultimately, this paper aims to highlight the diversity of AI work and workers that have come forth through these collaborations and how they offer a broader practice of openness to the AI space.
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。
