401 research outputs found

    Making Digital Surveillance Unacceptable? Security, Democracy, and the Political Sociology of Disputes

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    Despite extensive criticisms of mass surveillance and mobilization by civil liberties and digital rights activists, surveillance has paradoxically been extended and legalized in the name of security. How do some democratic claims against surveillance appear to be normal and common-sense, whereas others are deemed unacceptable, even outlandish? Instead of starting from particular “logics” of either security or democracy, this paper proposes to develop a political sociology of disputes to trace how the relation between security and democracy is shaped by critique in practice. Disputes entail critique and demands for justification. They allow us to account for the constraints which govern whether an argument is deemed acceptable or improper; commonsensical or peculiar. We mobilize disputes in conjunction with Arjun Appadurai’s reflections on “small numbers” in democracies in order to understand how justifications of surveillance for security enact a “rise in generality,” whereas critiques of digital surveillance that mobilize democratic claims enact a “descent into singularity.” To this purpose, we analyze public mobilizations against mass surveillance and challenges brought before the European Court of Human Rights (ECtHR). We draw on interviews with a range of actors involved in the disputes, the parties’ submissions, oral hearings, judgments, and public reports

    From abuse to trust and back again

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    oai:westminsterresearch.westminster.ac.uk:w7qv

    Governing others:Anomaly and the algorithmic subject of security

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    Algorithmic Reason

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    Are algorithms ruling the world today? Is artificial intelligence making life-and-death decisions? Are social media companies able to manipulate elections? As we are confronted with public and academic anxieties about unprecedented changes, this book offers a different analytical prism to investigate these transformations as more mundane and fraught. Aradau and Blanke develop conceptual and methodological tools to understand how algorithmic operations shape the government of self and other. While disperse and messy, these operations are held together by an ascendant algorithmic reason. Through a global perspective on algorithmic operations, the book helps us understand how algorithmic reason redraws boundaries and reconfigures differences. The book explores the emergence of algorithmic reason through rationalities, materializations, and interventions. It traces how algorithmic rationalities of decomposition, recomposition, and partitioning are materialized in the construction of dangerous others, the power of platforms, and the production of economic value. The book shows how political interventions to make algorithms governable encounter friction, refusal, and resistance. The theoretical perspective on algorithmic reason is developed through qualitative and digital methods to investigate scenes and controversies that range from mass surveillance and the Cambridge Analytica scandal in the UK to predictive policing in the US, and from the use of facial recognition in China and drone targeting in Pakistan to the regulation of hate speech in Germany. Algorithmic Reason offers an alternative to dystopia and despair through a transdisciplinary approach made possible by the authors’ backgrounds, which span the humanities, social sciences, and computer sciences

    The (Big) Data-security assemblage:Knowledge and critique

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    The Snowden revelations and the emergence of ‘Big Data’ have rekindled questions about how security practices are deployed in a digital age and with what political effects. While critical scholars have drawn attention to the social, political and legal challenges to these practices, the debates in computer and information science have received less analytical attention. This paper proposes to take seriously the critical knowledge developed in information and computer science and reinterpret their debates to develop a critical intervention into the public controversies concerning data-driven security and digital surveillance. The paper offers a two-pronged contribution: on the one hand, we challenge the credibility of security professionals’ discourses in light of the knowledge that they supposedly mobilize; on the other, we argue for a series of conceptual moves around data, human–computer relations, and algorithms to address some of the limitations of existing engagements with the Big Data-security assemblage
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