We are investigating decentralized technologies that affect social change.
The Decentralized Information Group (DIG) is developing frameworks for the policy-compliant, privacy preserving and unbiased use of data. Example projects include easy to use federated learning systems, synthetic data generation to customizable systems that provide bias mitigation.
We are developing a general framework that enforces privacy transparently enabling different kinds of machine learning to be developed that are automatically privacy preserving.
