After the Digital Tornado: Networks, Algorithms, Humanity

After the Digital Tornado

Networks, Algorithms, Humanity
Kiadó: Cambridge University Press
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Rövid leírás:

Leading technology scholars examine how networks powered by algorithms are transforming humanity, posing deep questions about power, freedom, and fairness. This title is also available as Open Access on Cambridge Core.

Hosszú leírás:
Networks 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 "Digital Tornado" hailed the "endless spiral of connectivity" 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.

'An important collection of diverse perspectives on the legal, ethical and social challenges of the information age. Essential reading for anyone interested in the past and future of Internet policy.' Bruce Schneier, Fellow at Harvard Kennedy School and author of Click Here to Kill Everybody
Introduction. An endless spiral of connectivity?; Prelude; Digital Tornado: The internet and telecommunication policy Kevin Werbach; I. Networks: 1. The regulated end of internet law, and the return to computer and information law? Christopher T. Marsden; 2. Networks, standards, and network
-based governance Julie E. Cohen; 3. Tech dominance and the policeman at the elbow Tim Wu; II. Algorithms: 4. Who do we blame for the filter bubble? On the roles of math, data, & people in algorithmic social systems Kartik Hosanagar and Alex Miller; 5. Regulating the feedback effect Viktor Mayer
-Sch&&&246;nberger; 6. Shaping our tools: contestability as a means to promote responsible algorithmic decision making in the professions Daniel n. Kluttz, Nitin Kohli, and Deirdre K. Mulligan; III. Humanity: 7. Why a commitment to pluralism should limit how humanity is re
-engineered Brett Frischmann and Evan Selinger; 8. Caveat usor: epistemic inequality as information warfare and surveillance capitalism's river of fire Shoshana Zuboff; 9. The siren song: algorithmic governance by blockchain Kevin Werbach.