Andreas Weigend, former chief scientist for Amazon, intends Data for the People to be a positive, uplifting book, presenting a wonderful future in which the great benefits of big data are empowering and liberating. Weigend is careful to reassure us that his 鈥減ost-privacy鈥 world is nothing like George Orwell鈥檚 Nineteen Eighty-Four 鈥 the opening sequence is about his childhood experience of the Stasi 鈥 but he doesn鈥檛 seem to notice the echoes of Aldous Huxley鈥檚 Brave New World.
Privacy is dismissed in a few short paragraphs. Weigend鈥檚 鈥渂rief history of the brief history of privacy鈥 is disappointingly predictable 鈥 falling into the familiar trap of suggesting that in the past our lives were lived 鈥渋n public鈥. It is a seductive myth that misses historical and cultural evidence, from religious practices to folklore from all over the world. It is a convenient myth, however, for those who benefit from our abandoning privacy.
Having summarily dismissed privacy, Weigend describes the Brave New 鈥減ost-privacy鈥 World. The analysis of Facebook鈥檚 鈥渟ocial graph鈥 is excellent, as is the description of the 鈥渟ensorization鈥 of society 鈥 where so many things monitor and record so much about us 鈥 but Weigend鈥檚 critical analysis is limited: he sees part of the problem but misses more. He lauds Facebook鈥檚 notorious 鈥渆motional contagion鈥 experiment while glossing over the ethical issues and embraces Google Glass while failing to even mention the privacy-related failure of that project.
Weigend鈥檚 鈥渟olution鈥 is a series of rights over 鈥渄ata refineries鈥 (extending the dubious 鈥渄ata is the new oil鈥 analogy). These are interesting, but the naivety about their effectiveness is palpable. He suggests data refineries should give us access to the 鈥渒nobs鈥 that control their algorithms, so we can experiment. An admirable idea 鈥 if you have enough time, expertise and understanding. For most it would be meaningless; few would even try.
探花视频
This is the book鈥檚 fundamental weakness. It accepts what should be unacceptable as unchangeable, while proposing changes that would do almost nothing for most but exacerbate power imbalances, widen digital divides and drive us into a Brave New World that works for Alpha-Pluses, less well for Gammas and Deltas, and not at all for those who don鈥檛 鈥渇it鈥. When Weigend writes blithely about the rewards of abandoning privacy outweighing the risks, it is hard not to connect this with his being a white, rich, highly educated and tech-savvy male in a (for now) liberal democracy 鈥 and neither a dissident nor a whistleblower.
Huxley has a leader in his Brave New World rail against people having once wanted 鈥渢he liberty to be inefficient and miserable鈥. Weigend seems to have similarly disturbing feelings about inefficiency. He has a particular dislike of randomness, and wishes to remove it wherever possible 鈥 when for many serendipity is one of life鈥檚 greatest pleasures. The section on health is fascinating 鈥 the possible benefits of extensive data sharing are enormous 鈥 but ultimately particularly chilling. Data will determine our access to healthcare and lifestyle choices. Weigend is direct: 鈥渙ccasionally what the data orders will be tough medicine鈥. So read this book 鈥 with a critical eye 鈥 but then (re)read Brave New World to remind yourself what needs to be fought against.
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Paul Bernal is lecturer in IT, IP and media law, University of East Anglia Law School, and author of Internet Privacy Rights: Rights to Protect Autonomy (2014).
Data for the People: How to Make Our Post-Privacy Economy Work for You
By Andreas Weigend聽
Basic Books, 272pp, 拢18.99
ISBN 9780465044696
Published 16 February 2016
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