Algorithmic paranoia: the temporal governmentality of predictive policing
In light of the recent emergence of predictive techniques in law enforcement to forecast crimes before they occur, this paper examines the temporal operation of power exercised by predictive policing algorithms. I argue that predictive policing exercises power through a paranoid style that constitutes a form of temporal governmentality. Temporality is especially pertinent to understanding what is ethically at stake in predictive policing as it is continuous with a historical racialized practice of organizing, managing, controlling, and stealing time. After first clarifying the concept of temporal governmentality, I apply this lens to Chicago Police Department’s Strategic Subject List. This predictive algorithm operates, I argue, through a paranoid logic that aims to preempt future possibilities of crime on the basis of a criminal past codified in historical crime data.
KeywordsAlgorithms Predictive policing Power Ethics Time
- Alexander, M. (2012). The new jim crow: Mass incarceration in the age of colorblindness. New York: The New Press.Google Scholar
- Barocas, S., & Selbst, A. D. (2016). Big data’s disparate impact. California Law Review, 104, 671–732.Google Scholar
- Bass, S. (2001). Policing space, policing race: Social control imperatives and police discretionary decisions. Social Justice, 28(1), 156–176.Google Scholar
- Beck, C., & McCue, C. (2009). Predictive policing: What we can learn from Wal-Mart and Amazon about fighting crime during a recession. The Police Chief, 76(11), 20–29.Google Scholar
- Bratton, W., Morgan, J., & Malinowski, S. (2009). Fighting crime in the information age: The promise of predictive policing. Draft. Retrieved from https://publicintelligence.net/lapd-research-paper-fighting-crime-in-the-information-age-the-promise-of-predictive-policing/.
- Chicago Police Department. (2015). “Custom notifications in Chicago.” http://directives.chicagopolice.org/directives/data/a7a57bf0-1456faf9-bfa14-570a-a2deebf33c56ae59.html. Accessed 16 Mar 2017.
- Chicago Police Department. (2016). “Strategic Subject List (SSL) dashboard.” http://directives.chicagopolice.org/directives/data/a7a57b85-155e9f4b-50c15-5e9f-7742e3ac8b0ab2d3.html. Accessed 16 Mar 2017.
- Coates, T.-N. (2015). Between the world and me. New York: Spiegal & Grau.Google Scholar
- Cooper, B. (2017). The racial politics of time (video). Retrieved from https://www.ted.com/talks/brittney_cooper_the_racial_politics_of_time.
- Davey, M. (2016). “Chicago police try to predict who may shoot or be shot.” https://www.nytimes.com/2016/05/24/us/armed-with-data-chicago-police-try-to-predict-who-may-shoot-or-be-shot.html. Accessed 16 Mar 2017.
- Foucault, M. (1975/1997). Discipline and punish: The birth of the prison (A. Sheridan, Trans.). New York: Vintage.Google Scholar
- Foucault, M. (1976/1978). The history of sexuality, volume 1: The will to know. New York: Pantheon Books.Google Scholar
- Foucault, M. (2000). Essential works, volume 3: Power. In J. Faubion & P. Rabinow (Eds.), New York: New Press.Google Scholar
- Foucault, M. (2004/2008). The birth of biopolitics: Lectures at the Collège de France, 1978–1979. New York: Palgrave Macmillan.Google Scholar
- Gillespie, T. (2014). The relevance of algorithms. In T. Gillespie, P. J. Boczkowski, & K. A. Foot (Eds.), Media technologies: Essays on communication, materiality, and society (pp. 167–193). Cambridge: MIT Press.Google Scholar
- Gitelman, L. (Ed.). (2013). ‘Raw Data’ is an oxymoron. Cambridge: MIT Press.Google Scholar
- Gordon, C. (1991). Governmental rationality: An introduction. In G. Burchell, C. Gordon & P. Miller (Eds.), The foucault effect: Studies in governmentality. Chicago: University of Chicago Press.Google Scholar
- Harcourt, B. E. (2007). Against prediction: Profiling, policing, and punishing in an actuarial age. Chicago: University of Chicago Press.Google Scholar
- Hofstadter, R. (1965). The paranoid style in American politics and other essays. New York: Knopf.Google Scholar
- Kaplan, J. (2017). Predictive policing and the long road to transparency. South Side Weekly. Retrieved July 12, 2017, from https://southsideweekly.com/predictive-policing-long-road transparency/.
- Koopman, C. (2013). Genealogy as critique: Foucault and the problems of modernity. Bloomington: Indiana University Press.Google Scholar
- Koopman, C. (2014). Michel Foucault’s critical empiricism Today: Concepts and analytics in the critique of biopower and infopower. In J. D. Faubion (Ed.), Foucault now: Current perspectives in Foucault studies (pp. 88–111). Cambridge: Polity Press.Google Scholar
- Kunichoff, Y., & Sier P (2017). The contradictions of Chicago Police’s Secretive List. Chicago Magazine. Retrieved August 21, 2017, from http://www.chicagomag.com/city-life/August-2017/Chicago-Police-Strategic-Subject List/.
- Latour, B. (1988). The pasteurization of France (A. Sheridan & J. Law, Trans.). Cambridge: Harvard University Press.Google Scholar
- Lyon, D. (2014). Surveillance, snowden, and big data: Capacities, consequences, critique. Big Data & Society, 2014, 1–13.Google Scholar
- Mann, C. R. (1993). Unequal justice: A question of color. Indianapolis: Indiana University Press.Google Scholar
- Martinez, M. (2016). “Going inside the Chicago police department’s ‘Strategic Subject List.’” https://chicago.cbslocal.com/2016/05/31/going-inside-the-chicago-policedepartments-strategic-subject-list/. Accessed 16 Mar 2017.
- McCulloch, J., & Wilson, D (2016). Pre-crime: Pre-emption, precaution and the future. London: Routledge.Google Scholar
- Mittelstadt, B., Daniel, P., Allo, M., Taddeo, S. W., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 2016, 1–21.Google Scholar
- National Institute of Justice. (2009). Predictive policing symposiums. Retrieved from https://www.ncjrs.gov/pdffiles1/nij/242222and248891.pdf.
- Pearsall, B. (2009) Predictive policing: The future of law enforcement? NIJ Journal, 266, 16–19.Google Scholar
- Posadas, B. (2017). How strategic is Chicago’s ‘Strategic Subject List’? Upturn investigates. Medium. Retrieved June 22, 2017, from https://medium.com/equal-future/how-strategic-is-chicagos-strategic-subjects-list-upturn-investigates-9e5b4b235a7c.
- Robinson, D., & Koepke, L. (2016). Stuck in a pattern: Early evidence on ‘predictive policing’ and civil rights. Upturn report: pp 1–29. Retrieved from https://www.teamupturn.com/reports/2016/stuck-in-a-pattern.
- Russell, K. K. (1998). The color of crime: Racial hoaxes, white fear, black protectionism, police harassment, and other macroaggressions. New York: New York University Press.Google Scholar
- Sedgwick, E. K. (2003). Touching feeling: Affect, pedagogy, performativity. Durham: Duke University Press.Google Scholar
- Wilson, D. (2018). Algorithmic patrol: The futures of predictive policing. In A. Završnik (Ed.), Big data, crime and social control. London: Routledge.Google Scholar
- Završnik, A. (Ed.). (2018). Big data, crime and social control. London: Routledge.Google Scholar