Algorithmic profiling is a technology and practice that is increasingly used to make decisions, sometimes even without human intervention. Profiles can be traced back to their use in police work and behaviorist psychology of the early 20th century. Thus, long before the emergence of Big Data, profiles were used as a knowledge tool in a wide range of human sciences. Today, profiles and profiling are used in multiple contexts: customer profiling, profiling for employment screening, credit scoring, criminal investigations, immigration policy, healthcare management, forensic biometrics, etc.
I have published a paper, which explores how the emerging arrangement of multiple profiling impacts decision-making, our subjectivities and relations. It shows how “profiling machines” influence and shape our lives in ways that are often invisible, but nevertheless powerful and often dramatic. Check out the paper entitled “Algorithmic Decision-Making, Spectrogenic Profiling, and Hyper-Facticity in the Age of Post-Truth”, which has been published in the open access journal Le Foucaldian.