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The Democratization of Artificial Intelligence : Net Politics in the Era of Learning Algorithms / ed. by Andreas Sudmann.

Contributor(s): Material type: TextTextLanguage: English Series: KI-Kritik ; 1Publisher: Bielefeld : transcript Verlag, [2020]Copyright date: ©2019Description: 1 online resource (334 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783839447192
Subject(s): Additional physical formats: No titleLOC classification:
  • Internet Access AEU
Online resources:
Contents:
Frontmatter -- Content -- The Democratization of Artificial Intelligence -- Metaphors We Live By -- AI, Stereotyping on Steroids and Alan Turing's Biological Turn -- Productive Sounds -- Algorithmic Trading, Artificial Intelligence and the Politics of Cognition -- The Quest for Workable Data -- Plural, Situated Subjects in the Critique of Artificial Intelligence -- Deep Learning's Governmentality -- Reduction and Participation -- The Political Affinities of AI -- Artificial Intelligence -- Race and Computer Vision -- Mapping the Democratization of AI on GitHub -- On the Media-political Dimension of Artificial Intelligence -- How to Safeguard AI -- AI, Democracy and the Law -- Rethinking the Knowledge Problem in an Era of Corporate Gigantism -- Artificial Intelligence and the Democratization of Art -- "That is a 1984 Orwellian future at our doorstep, right?" -- Biographies -- Acknowledgments
Summary: The recent explosion in interest in both the democratization of data and artificial intelligence (AI) brings important questions to the fore: How democratic is AI? How to explore the political aspects of modern machine learning if many computer scientists consider AI technologies a black box fundamentally opaque to human understanding? And how does this affect questions of accountability and political agency?This timely collection discusses the complex political dimensions of internet and AI technologies, seeking to elucidate possible avenues of democratizing AI. This includes technological strategies such as an 'Explainable AI', but also the questions of political and/or critical concepts which guide the technological process of making modern AI technology more accessible as well as suitable ways of democratizing AI beyond a purely abstract understanding of transparency and accountability.
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Frontmatter -- Content -- The Democratization of Artificial Intelligence -- Metaphors We Live By -- AI, Stereotyping on Steroids and Alan Turing's Biological Turn -- Productive Sounds -- Algorithmic Trading, Artificial Intelligence and the Politics of Cognition -- The Quest for Workable Data -- Plural, Situated Subjects in the Critique of Artificial Intelligence -- Deep Learning's Governmentality -- Reduction and Participation -- The Political Affinities of AI -- Artificial Intelligence -- Race and Computer Vision -- Mapping the Democratization of AI on GitHub -- On the Media-political Dimension of Artificial Intelligence -- How to Safeguard AI -- AI, Democracy and the Law -- Rethinking the Knowledge Problem in an Era of Corporate Gigantism -- Artificial Intelligence and the Democratization of Art -- "That is a 1984 Orwellian future at our doorstep, right?" -- Biographies -- Acknowledgments

Open Access unrestricted online access star

https://purl.org/coar/access_right/c_abf2

The recent explosion in interest in both the democratization of data and artificial intelligence (AI) brings important questions to the fore: How democratic is AI? How to explore the political aspects of modern machine learning if many computer scientists consider AI technologies a black box fundamentally opaque to human understanding? And how does this affect questions of accountability and political agency?This timely collection discusses the complex political dimensions of internet and AI technologies, seeking to elucidate possible avenues of democratizing AI. This includes technological strategies such as an 'Explainable AI', but also the questions of political and/or critical concepts which guide the technological process of making modern AI technology more accessible as well as suitable ways of democratizing AI beyond a purely abstract understanding of transparency and accountability.

funded by Knowledge Unlatched - KU Select 2019: Frontlist Collection

Mode of access: Internet via World Wide Web.

This eBook is made available Open Access under a CC BY-NC-ND 4.0 license:

https://creativecommons.org/licenses/by-nc-nd/4.0

https://www.degruyter.com/dg/page/open-access-policy

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Jun 2022)

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