1728640784     

After the digital tornado : networks, algorithms, humanity / edited by Kevin Werbach, Wharton School, University of Pennsylvania

Werbach, Kevin [Herausgeberin/-geber]

After the Digital Tornado: Networks, Algorithms, Humanity ; (Pennsylvania) : 2017.11.

First published

Cambridge ; New York ; Melbourne ; New Delhi ; Singapore : Cambridge University Press, August 2020

1 Online-Ressource (ix, 239 Seiten) : Illustrationen, Diagramme

Englisch

Erscheint auch als: After the digital tornado (Druck-Ausgabe)

978-1-108-61001-8

978-1-108-42663-3 (ISBN der Printausgabe)

OCoLC: 1196251005     

Elektronische Ressource: Zugang über Resolving-System (Lizenzangabe: Kostenfrei zugänglich ohne Registrierung)

Digital Object Identifier (DOI): 10.1017/9781108610018

Rechteinformation und Access Status: Open Access title.

Konferenzschrift, 2017, Philadelphia

QR 760  | ST 205      Ähnliche Literatur

TK5105.8854

394.3/34

LOC-SH: Internet governance ; Internet -- Government policy ; Internet industry

Internet governance ; Internet ; Government policy ; Internet industry

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.