AI is trained and evaluated on less than .01% of the world’s data
Access to non-public data is blocked by privacy, security, legal, and intellectual property concerns.
We are solving Attribution-Based Control to fix this problem.
OpenMined is a 501(c)(3) non-profit foundation and mission-driven community that brings together leading minds in AI, security and privacy technology to develop open-source solutions that transform how data can be accessed and shared.

Partnerships
Press Room
Frontier AI Taskforce: second progress report
From privacy to partnership: The role of PETs in data governance and collaborative analysis
Privacy-preserving third-party audits on Unreleased Digital Assets with PySyft
Winners Announced in First Phase of UK-US PETs Prize Challenges
OSTP-NSF-PCAST Event on Opportunities at the AI Research Frontier
Driving US Innovation in AI: A Roadmap for AI Policy in the US Senate
National Strategy to Advance Privacy-Preserving Data Sharing and Analytics
Democratizing the future of AI R&D: NSF to launch National AI Research Resource pilot
A New Model for International, Privacy-Preserving Data Science
AI Accountability Policy Report

Christchurch Call Initiative on Algorithmic Outcomes
Expanding our commitments to countering violent extremism online
Investing in privacy enhancing tech to advance transparency in ML
Introducing a New Subreddit for Researchers
Privacy and Machine Learning Courses
Partnering with Google to make differential privacy more widely accessible
OpenMined and PyTorch partner to launch fellowship funding for privacy-preserving ML community
The PET Guide
Facilitating Access to Non-Public Data: A World in Which All Data is “Open”
Reimagining Our High-Tech World