Machine Learning has become a popular tool in a variety of applications in criminal justice, including sentencing and policing. Media has brought attention to the possibility of predictive policing systems causing disparate impacts and exacerbating social injustices. However, there is little academic research on the importance of fairness in machine learning applications in policing. Although prior research has shown that machine learning models can handle some tasks efficiently, they are susceptible to replicating systemic bias of previous human decision-makers. While there (...) is much research on fair machine learning in general, there is a need to investigate fair machine learning techniques as they pertain to the predictive policing. Therefore, we evaluate the existing publications in the field of fairness in machine learning and predictive policing to arrive at a set of standards for fair predictive policing. We also review the evaluations of ML applications in the area of criminal justice and potential techniques to improve these technologies going forward. We urge that the growing literature on fairness in ML be brought into conversation with the legal and social science concerns being raised about predictive policing. Lastly, in any area, including predictive policing, the pros and cons of the technology need to be evaluated holistically to determine whether and how the technology should be used in policing. (shrink)

Freedom, conceived ontologically, is power's condition of possibility. Yet, considering that the subject's interests and identity are constantly shaped, one still has to explain how – theoretically speaking – individuals can resist control. This is precisely the issue I address in the following pages. Following a brief overview of Foucault's contribution to our understanding of power, I turn to discuss the role of visibility vis-à-vis control, and show how the development of disciplinary techniques reversed the visibility of power. While Foucault (...) illustrates that during different historical periods, distinct modes of visibility are produced by power in order to control society, I argue that the very same power that produces visibility is concomitantly dependent upon it. In addition, I maintain that visibility is a necessary component of resistance. But Foucault – perhaps due to his premature death – never adequately explains how individuals can resist the mechanisms of control in a world in which power is ubiquitous. To help clarify this enigma, I turn to Hannah Arendt's insights into power, freedom, plurality, and natality. These concepts, I claim, can serve as a corrective to Foucault because they make room for resistance without assuming that humans can exit power's web. (shrink)

This paper reviews the social scientific literature on biometric surveillance, with particular attention to its potential harms. It maps the harms caused by biometric surveillance, traces their theoretical origins, and brings these harms together in one integrative framework to elucidate their cumulative power. Demonstrating these harms with examples from the United States, the European Union, and Israel, I propose that biometric surveillance be addressed, evaluated and reframed as a new form of control rather than simply another means of inspection. I (...) conclude by delineating three features of biometric technologies—complexity, objectivity, and agency—that demonstrate their social power and draw attention to the importance of studying biometric surveillance. (shrink)

Fighting crime has historically been a field that drives technological innovation, and it can serve as an example of different governance styles in societies. Predictive policing is one of the recent innovations that covers technical trends such as machine learning, preventive crime fighting strategies, and actual policing in cities. However, it seems that a combination of exaggerated hopes produced by technology evangelists, media hype, and ignorance of the actual problems of the technology may have boosted sales of software that supports (...) policing by predicting offenders and crime areas. In this paper we analyse currently used predictive policing software packages with respect to common problems of data mining, and describe challenges that arise in the context of their socio-technical application. (shrink)

Biometric facial recognition is an artificial intelligence technology involving the automated comparison of facial features, used by law enforcement to identify unknown suspects from photographs and closed circuit television. Its capability is expanding rapidly in association with artificial intelligence and has great potential to solve crime. However, it also carries significant privacy and other ethical implications that require law and regulation. This article examines the rise of biometric facial recognition, current applications and legal developments, and conducts an ethical analysis of (...) the issues that arise. Ethical principles are applied to mediate the potential conflicts in relation to this information technology that arise between security, on the one hand, and individual privacy and autonomy, and democratic accountability, on the other. These can be used to support appropriate law and regulation for the technology as it continues to develop. (shrink)