Suchergebnisse

Intro -- Half Title -- Title Page -- Copyright -- Contents -- Notes on contributors -- Acknowledgements -- 1 The politics of Big Data: principles, policies, practices -- Our focus and goal -- Big Data - does it exist, and if so, what is it? -- Politics as a perspective on Big Data -- The volume in brief -- Notes -- References -- PART I Principles and paradigms: questioning the tenets of Big Data -- 2 The haystack fallacy, or why Big Data provides little security -- Introduction -- Setting chapter parameters -- What are data? -- What makes data 'big'? -- What are Big Data good for, given how they are created, processed, and used? -- Because petabytes -- [Causal] models are moot -- Theory is irrelevant -- Numbers speak for themselves -- Correlation is enough -- Results show unprecedented accuracy -- So what? -- In conclusion -- Notes -- References -- 3 Grasping the ethics and politics of algorithms -- Introduction -- Opening black boxes is not enough -- Some things cannot be done right -- Discrimination and bias are no accident -- Human experts are not necessarily better -- The algorithm is just one part of the puzzle -- Superhuman artificial intelligence is not the main issue -- Conclusion -- Notes -- References -- 4 Big Data - within the tides of securitisation? -- Introduction -- A new data pragmatism? -- Uncertainty, predictability and interpretation -- Securitisation and (surveillance) technology -- Big Data as a tool of (in)securitisation -- Increasing power asymmetries and technology dependencies -- Summary and conclusions -- Acknowledgement -- Notes -- References -- 5 Surveillance as a critical paradigm for Big Data? -- Introduction -- Big Data and dataveillance -- Epistemic issues in Big Data -- Amending the epistemic critique: critical issues of Big Data as surveillance -- The decoupling of generation and analysis of data