Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives
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 thr...
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Zusammenfassung: | 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. |
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DOI: | 10.48550/arxiv.2301.08488 |