Guidance on Embedding Data Protection Principles in Machine Learning

Immuta and the Future of Privacy Forum (FPF) released a working white paper, Data Protection by Process: How to Operationalise Data Protection by Design for Machine Learning, that provides guidance on embedding data protection principles within the life cycle of a machine learning model.

The paper provides clear instructions on how to fulfill the DPbD obligation and how to build a DPbD strategy in line with data protection principles.