Data minimisation and privacy-preserving techniques in AI systems

What is adequate, relevant and necessary in relation to AI systems will be use-case specific. However, there are a number of techniques that organisations can adopt in order to develop AI systems which process as little personal data as possible, while still remaining functional. In this blog, ICO explores some of the most relevant techniques for supervised Machine Learning (ML) systems, which are currently the most common type of AI in use.