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Some additions of Metagov-adjacent projects

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Nathan Schneider
2025-11-19 23:38:44 +00:00
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@@ -54,7 +54,7 @@ How are foundational models trained? What infrastructures and natural resources
What fine-tuning do models receive before deployment? What collective intervention is involved?
* Utilize collective intelligence processes such as [alignment assemblies](https://www.cip.org/alignmentassemblies) to set standards for AI behavior and define system prompts, resulting in [community models](https://blog.cip.org/p/community-models)
* Utilize collective intelligence processes such as [alignment assemblies](https://www.cip.org/alignmentassemblies) to set standards for AI behavior and define system prompts, resulting in [community models](https://blog.cip.org/p/community-models) and [community-aligned benchmarks](https://www.aspendigital.org/project/ai-benchmarks/)
* Implement co-design practices that include alignment workers fully in the process of ethical oversight, rather than the [dehumanizing roles](https://www.bloomsbury.com/us/feeding-the-machine-9781639734979/) they are often expected to assume
* Design tuning processes around an [ethics of care](https://iep.utm.edu/care-ethics/), ensuring that all workers in the process experience respect and dignity in their work
* Identify and promote [evaluation processes](https://weval.org) that improve safety and alignment over time
@@ -76,7 +76,7 @@ How do AIs obtain contextual information? What kinds of actions are agents able
Where are AIs running while they are interacting with users? How do they treat user data?
* Deploy AI systems at data centers powered by renewable energy, such as [GreenPT](https://greenpt.ai/) and [Earth Friendly Computation](https://earthfriendlycomputation.com/), and that respect local ecosystems
* Host AI services on cooperatively owned and governed servers, such as [Cosy AI](https://cosyai.net/), especially with ownership by local communities
* Host AI services on cooperatively owned and governed servers, such as [Cosy AI](https://cosyai.net/), or through local institutions like [libraries](https://publicai.network/libraries)
* Run local models on personal or community computers with tools like [Ollama](https://ollama.com/) and [Jan](https://www.jan.ai/)
* Use decentralized or federated solutions for hosting like [Golem](https://www.golem.network/) or [Internet Computer](https://internetcomputer.org/)
@@ -125,7 +125,8 @@ How do different community-governed AI systems connect, share information, and m
* Establish more traceable, collectively governed data repositories that can be used across models and contexts, like [ImageNet](https://image-net.org/) and [Dataverse](https://dataverse.org/)
* Share audit logs across networks with standard tools like [Petri](https://www.anthropic.com/research/petri-open-source-auditing)
* [Map](https://www.fractracker.org/2025/07/national-data-centers-tracker/) and [document](https://datasociety.net/points/digital-infrastructures-material-consequences/) the impacts of data centers on communities and ecology
* Develop cross-border [standards](https://www.sandia.gov/app/uploads/sites/148/2025/04/Challenges-and-Opportunities-for-US-China-Collaboration-on-Artificial-Intelligence-Governance.pdf) and [collaborations](https://www.nature.com/articles/s41598-024-79863-5) among stakeholders that challenge the international arms-race mentality through co-governance
* Develop cross-border [standards](https://www.sandia.gov/app/uploads/sites/148/2025/04/Challenges-and-Opportunities-for-US-China-Collaboration-on-Artificial-Intelligence-Governance.pdf), [collaborations](https://www.nature.com/articles/s41598-024-79863-5), and [joint ventures](https://www.airbusforai.org/) among stakeholders that challenge the international arms-race mentality through co-governance
* Work toward a world of [many models](https://manymodels.org/), enabling more widespread choice
## Feedback loops