In this paper we discuss why data minimization is key to protecting privacy and explain how it can reduce the harm of data collection and exploitation. We then offer decision-makers, such as lawmakers, software developers, and others engaged in developing or implementing data minimization policies, guidance on applying data minimization principles in the context of addressing civil rights-related harms, curbing the negative impact of behavioral advertising, and training machine learning (ML) systems.
