000			02471nam a22003858i 4500
001			CR9781108610018
005			20250919142050.0
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007			cr||||||||||||
008			170815s2020||||enk o ||1 0|eng|d
020			_a9781108610018 (ebook)
020			_z9781108426633 (hardback)
020			_z9781108445351 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTK5105.8854 _b.A48 2020
082	0	0	_a394.3/34 _223
245	0	0	_aAfter the digital tornado : _bnetworks, algorithms, humanity / _cedited by Kevin Werbach.
264		1	_aCambridge : _bCambridge University Press, _c2020.
300			_a1 online resource (ix, 239 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 07 Sep 2020).
520			_aNetworks powered by algorithms are pervasive. Major contemporary technology trends - Internet of Things, Big Data, Digital Platform Power, Blockchain, and the Algorithmic Society - are manifestations of this phenomenon. The internet, which once seemed an unambiguous benefit to society, is now the basis for invasions of privacy, massive concentrations of power, and wide-scale manipulation. The algorithmic networked world poses deep questions about power, freedom, fairness, and human agency. The influential 1997 Federal Communications Commission whitepaper 2Digital Tornado3 hailed the 2endless spiral of connectivity3 that would transform society, and today, little remains untouched by digital connectivity. Yet fundamental questions remain unresolved, and even more serious challenges have emerged. This important collection, which offers a reckoning and a foretelling, features leading technology scholars who explain the legal, business, ethical, technical, and public policy challenges of building pervasive networks and algorithms for the benefit of humanity. This title is also available as Open Access on Cambridge Core.
650		0	_aInternet governance.
650		0	_aInternet _xGovernment policy.
650		0	_aInternet industry.
700	1		_aWerbach, Kevin, _eeditor.
776	0	8	_iPrint version: _z9781108426633
856	4	0	_uhttps://doi.org/10.1017/9781108610018
907			_a.b16847507 _b2020-12-22 _c2020-12-22
942			_n0
998			_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b16847507
999			_c652093 _d652093