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OpenMined: Federated AI Network for Privacy-Preserving Computation
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OpenMined is relevant to AI safety through its AI auditing infrastructure and partnerships with government AI safety bodies, enabling privacy-preserving third-party oversight of AI systems without requiring access to sensitive model internals.
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Summary
OpenMined is a non-profit building open-source infrastructure (Syft) that enables secure, federated computation across siloed data without moving or centralizing that data. It supports use cases including collaborative genomics research, AI model auditing, and publisher attribution, using privacy-enhancing technologies to enable collective intelligence while preserving data ownership and control.
Key Points
- •Syft federated AI network enables computation across data silos without centralizing raw data, preserving privacy and ownership
- •Supports AI auditing use case: third-party auditors can verify AI model behavior without accessing model weights, training data, or user logs
- •BioVault subnetwork enables collaborative genomic research while keeping sensitive data on participants' devices
- •Open-source, decentralized infrastructure with no vendor lock-in, supporting flexible federated analytics and model inference
- •Partners with institutions like the UK Frontier AI Taskforce to advance AI safety research using privacy-preserving methods
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| Page | Type | Quality |
|---|---|---|
| AI Governance Coordination Technologies | Approach | 91.0 |
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OpenMined ⬩ The Missing Layer for Collective Intelligence
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The missing layer for collective intelligence
-> Unlock insights from data you can’t access.
-> Create value from data you can’t share.
How We Help: Publishers Creators Genomics AI Auditors and in the boot() call.
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We’re OpenMined, a non-profit community building technology that enables secure computation across siloed data — unlocking collective intelligence while preserving attribution-based control .
Donate About the Foundation and in the StreamEmbed()
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Meet Syft:
The Federated AI Network
The network coordinates secure, governed computation across silos — without moving data — making it possible to study information that would otherwise remain private.
This is how collective intelligence becomes real: when people and communities across information silos connect — respecting their choices and values — to produce insights no single group could achieve alone.
Supported Subnets
Publishers
Control your distribution in the AI era. Make your assets AI-ready and queryable with guaranteed attribution, fair compensation, and tracking reader engagement — all without losing custody.
Join the Beta -> Genomics
Run collaborative genomic research without ever centralizing raw data. BioVault is a free, open-source subnetwork where insights flow freely while sensitive files stay secure on participants’ devices.
Join the Beta -> Creators
Turn everything you’ve created into a knowledge base your audience can explore. Know what they’re curious about, engage them at scale, and unlock new revenue from content you already have.
Get early access -> AI Auditors
Enable third-party AI audits without exposing proprietary models or user data. Cryptographic infrastructure ensures auditors get verified answers… not copies of model weights, training data, or user logs.
Learn More -> Open, Public Good Infrastructure
No vendor lock-in, no black boxes — just open protocols that ensure the network remains truly decentralized and free.
Flexible Federated Computation
Run exactly the computation you need — from simple analytics to complex model inference — all executed securely where the data lives.
Full Control Over Your Data
Decide who can use your data, for what purpose, and the privacy, attribution, or pricing rules — and the network enforces them for you.
Start your own federated sub-network
Launch a privacy-preserving network for your domain — whether that be in climate, healthcare, finance, or beyond.
The federated AI network provides open-source infrastructure for secure, governed collaboration, where data stays distr
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