Artificial intelligence – more specifically, the machine learning (ML) subset of AI – has a number of privacy problems.

Not only does ML require vast amounts of data for the training process, but the derived system is also provided with access to even greater volumes of data as part of the inference processing while in operation. These AI systems need to access and “consume” huge amounts of data in order to exist and, in many use cases, the data involved is private: faces, medical records, financial data, location information, biometrics, personal records, and communications.