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The chapter critically analyzes the concepts and the practices of surveillance in modern and postmodern societies along with their consequences. We show the changes in the systems, which are used to monitor individuals, and emphasize the transition toward soft surveillance systems, probably stimulated by digital technologies. This switch from top-down control to “lateral” monitoring systems encloses surveillance practices with suggestive names like interveillance, synopticon, and dataveillance. The dark side of digital health has a bright start. According to Topol’s (2016) vision of the future, we will soon be the “consumers,” the real protagonists, of the management of our health – thanks largely to the practically endless data about our bodies, behaviors, and lifestyles we will be able to collect and analyze. We will share our health information in real time with the doctors whom we will choose based on their score in clinical rankings (here, too, quantification rears its head). Yet, this simplified version of health makes it seem that there are always some solutions, which the algorithm can supply as long as it has enough information. Moreover, in the United States, some health-insurance companies have started to offer a discount on premiums to the members who agree to collect and share self-tracking data with them. Clearly, the discount is given only to the workers who have healthy habits. At first sight, this can seem as a win-win trade-off; however, what today is presented as an individual option can easily become a requirement tomorrow.

Contemporary society is characterized by extreme acceleration (Rosa, 2010). Time has become a scarce resource and individuals are forced to adhere to the demands of speediness. This condition is connected to the increased performance now required in many areas of daily life, an increase so profound that some authors refer to ours as a “doping society.”

This chapter argues that the practice of quantification exponentially increases the “managerializing” of the user. In this sense, the quantified-self (QS) can be thought of as something that helps people to organize their activities in the manner of the market. Individuals thus become self-entrepreneurs who, in keeping with the standard aims of neoliberalism, make use of their collected data in a fashion analogous to the way results are determined in a corporation’s Research & Development department. The self becomes an assortment of analyses by which measures of behaviors and habits are made, all in the name of producing an “objective report” on the user’s characteristics. The ultimate aim of all this is to improve certain parts of life so as to increase and optimize our productivity.