Maryam Mehrnezhad
Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom
Fertility tracking applications are technologies that collect sensitive information about their users i.e. reproductive potential. For many, these apps are an affordable solution when trying to conceive or managing their pregnancy. However, intimate data are not only collected but also shared beyond users knowledge or consent. In this paper, we explore the privacy risks that can originate from the mismanagement, misuse, and misappropriation of intimate data, which are entwined in individual life events and in public health issues such as abortion and (in)fertility. We look at differential vulnerabilities to enquire data’s vulnerability and that of ‘data subjects’. We introduce the General Data Protection Regulation (GDPR) and how it addresses fertility data. We evaluate the privacy of 30 top ‘fertility apps' through their privacy notices and tracking practices. Lastly, we discuss the regulations and fertility data as critical to the future design of tracking technologies and privacy rights.
https://doi.org/10.1145/3411764.3445132
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)