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.
翻译:开放的人工智能(开放源码AI)合作为如何在资源充足的技术公司之外发展人工智能提供了替代途径,谁可以成为这一进程的一部分。为了了解他们如何和为什么工作,以及他们给地貌带来的额外性,我们侧重于三个这样的社区,每个社区都侧重于围绕人工智能的不同类型活动:建立模型(BigScience讲习班)、工具和工作方式(图灵之路)和生态系统(Mozilla节建设可信赖的人工智能工作组)。首先,我们记录了为这些分布式团队提供便利的社区结构,这些团队由志愿者领导,比较推动每个团体实现其具体目标的协作方式。我们通过与社区领导人的访谈,绘制用户旅程图,以了解成员如何发现、加入、贡献和参与。最终,本文旨在突出通过这些合作产生的人工智能工作和工人的多样性,以及他们如何为AI空间提供更广泛的开放做法。