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[Commlist] Technologies of Speculation: The Limits of Knowledge in a Data-Driven Society
Wed Sep 30 11:04:12 GMT 2020
We would like to announce a new publication from New York University
Press, which we hope will be of interest.
*Technologies of Speculation***
The Limits of Knowledge in a Data-Driven Society
*Sun-ha Hong***
*_https://www.combinedacademic.co.uk/9781479883066/technologies-of-speculation/
<https://www.combinedacademic.co.uk/9781479883066/technologies-of-speculation/>_**__*
*Receive a 20% discount online:*
*CSLS2020*
An inquiry into what we can know in an age of surveillance and algorithms.
Knitting together contemporary technologies of datafication to reveal a
broader, underlying shift in what counts as knowledge, /Technologies of
Speculation/reframes today’s major moral and political controversies
around algorithms and artificial intelligence. How many times we toss
and turn in our sleep, our voluminous social media activity and location
data, our average resting heart rate and body temperature: new
technologies of state and self-surveillance promise to re-enlighten the
black boxes of our bodies and minds. But Sun-ha Hong suggests that the
burden to know and to digest this information at alarming rates is
stripping away the liberal subject that ‘knows for themselves’, and
risks undermining the pursuit of a rational public. What we choose to
track, and what kind of data is extracted from us, shapes a society in
which my own experience and sensation is increasingly overruled by
data-driven systems.
From the rapidly growing Quantified Self community to large-scale
dragnet data collection in the name of counter-terrorism and drone
warfare, Hong argues that data’s promise of objective truth results in
new cultures of speculation. In his analysis of the Snowden affair, Hong
demonstrates an entirely new way of thinking through what we could know,
and the political and philosophical stakes of the belief that data
equates to knowledge. When we simply cannot process all the data at our
fingertips, he argues, we look past the inconvenient and the complicated
to favor the comprehensible. In the process, racial stereotypes and
other longstanding prejudices re-enter our newest technologies by the
back door. Hong reveals the moral and philosophical equations embedded
into the algorithmic eye that now follows us all.*__*
**
*Sun-ha Hong*is Assistant Professor of Communication at Simon Fraser
University and received his Ph.D. from the University of Pennsylvania.
Hong alayzes the fantasies, values, and sentimentalities surrounding big
data and AI. More information can be found at his website,
sunhahong.org.*__*
*New York University Press**| July 2020 | 288pp | 9781479883066 | PB |
£23.99**
*Price subject to change.
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