Title: Protecting Privacy: Collective Approaches to Protect Individuals in a Data-Driven World
Innovation in the digital space has made it possible to collect data on an unprecedented scale. Advances in data mining and machine learning algorithms paired with the massive data sets have enabled substantial inferences about people’s behavior and personal information, putting our privacy at risk. Michelle’s thesis compares individual and collective privacy approaches to regulating data. She challenges individual privacy approaches such as the notice and consent framework, contending that collective privacy harms require collective privacy solutions.