Public AI Network: Difference between revisions
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* White Paper: [https://drive.google.com/file/d/1BPonjBZllV9O5OTLYPQdz3KL1a7kjtWN/view] | * White Paper: [https://drive.google.com/file/d/1BPonjBZllV9O5OTLYPQdz3KL1a7kjtWN/view] | ||
[[Category:Movements]] | [[Category:Movements]] | ||
Latest revision as of 04:58, 3 April 2025
= "a coalition working to bring about Public AI".
URL = https://publicai.network/
Description
"The Public AI Network is a coalition working to bring about public AI. Our aims are to:
- Ensure public capacity-building is part of the conversation about AI design, policy, and funding
- Make it easier to build public AI by coordinating research efforts in the ML community
- Support policymakers and technical teams seeking to implement public AI "
Directory
"A wide range of people have contributed ideas and suggestions to this document and/or are contributing to the coalition to promote and build public AI, including:
- David Bau (Northeastern)
- Peter Brantley (UC Davis)
- Natalie Buda Smith (Library of Congress)
- B Cavello (The Aspen Institute)
- Nick Garcia (Public Knowledge)
- Wendy Hanamura (Internet Archive / DWeb Movement)
- Sarah Hubbard (Harvard Kennedy School)
- Brandon Jackson (Metagov)
- Louis Kang (AccelR8)
- SJ Klein (Interlace / Berkman)
- Alex Krasodomski (Chatham House)
- Scott Moore (Metagov / Public Works)
- Carlos Munoz Ferrandis (Hugging Face, Alinia)
- Aviv Ovadya (BCK/GovAI/newDemocracy)
- Nathan Sanders (Harvard)
- Bruce Schneier (Harvard Kennedy School)
- Catherine Stihler (Creative Commons)
- Alek Tarkowski (Open Future)
- Joshua Tan (Metagov / Oxford)
- Nick Vincent (Simon Fraser)
- David Weinberger (Berkman)
- Avani Wildani (Cloudflare / Emory)
- Philip Moreira Tomei (Pax Machina)
([1])
More information
- White Paper: [2]