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Book
The Democratization of Artificial Intelligence : Net Politics in the Era of Learning Algorithms
Authors: ---
ISBN: 3839447194 3837647196 9783839447192 Year: 2019 Publisher: Bielefeld transcript Verlag

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Abstract

After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artificial Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms? »Eine ungewöhnlich perspektivenreiche Publikation. Interessant [...] für Lehrende und Forschende, die nach neuen Denkanstößen suchen.« Alexander Godulla, Communicatio Socialis, 4 (2020)


Periodical
Social network analysis and mining.
Authors: --- --- ---
ISSN: 18695469 18695450 Year: 2011 Publisher: Wien : Springer,

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Social Network Analysis and Mining (SNAM) is intended to be a multidisciplinary journal to serve both academia and industry as a main venue for a wide range of researchers and readers from social sciences, mathematical sciences, medical and biological sciences and computer science. We solicit experimental and theoretical work on social network analysis and mining using different techniques from sociology, social sciences, mathematics, statistics and computer science. The main areas covered by SNAM include: (1) data mining advances on the discovery and analysis of communities, personalization for solitary activities (like search) and social activities (like discovery of potential friends), the analysis of user behavior in open forums (like conventional sites, blogs and forums) and in commercial platforms (like e-auctions), and the associated security and privacy-preservation challenges; (2) social network modeling, construction of scalable, customizable social network infrastructure, identification and discovery of dynamics, growth, and evolution patterns using machine learning approaches or multi-agent based simulation.


Periodical
Journal of ICT research and applications.
Authors: ---
ISSN: 23375787 23385499 Year: 2013 Publisher: Bandung, Indonesia : ITB Journal Publisher,

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