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Authors & Publishers
Media focus
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Methods applied
Journals
Output Type
A Study on Open Voice Data in Indian Languages
Bonn: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) (2020), 56 pp.
"This research aims at finding the current state of (open) voice datasets in Indian languages, including information about their volume, quality, mode of collection, and availability. The present research also explores the challenges for the creation and maintenance of open voice datasets in India.
...
Invisible Women: Exposing Data Bias in a World Designed for Men
London: Vintage (2020), xv, 411 pp.
"Invisible Women shows us how, in a world largely built for and by men, we are systematically ignoring half the population. It exposes the gender data gap - a gap in our knowledge that is at the root of perpetual, systemic discrimination against women, and that has created a pervasive but invisible
...
The Oxford Handbook of Ethics of AI
New York: Oxford University Press (2020), xiv, 881 pp.
"This book explores the intertwining domains of artificial intelligence (AI) and ethics—two highly divergent fields which at first seem to have nothing to do with one another. AI is a collection of computational methods for studying human knowledge, learning, and behavior, including by building ag
...
"An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions. Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is
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"La idea esencial de esta publicación ha sido visualizar el estado actual de los diversos esfuerzos impresos en esta área de la tecnología, la cual transversalmente tiene cada vez mayor incidencia en temas productivos y de consumo, así como en las oportunidades de desarrollo social y todo un nue
...
Algo.Rules: Regeln für die Gestaltung algorithmischer Systeme
iRights.Lab; Bertelsmann Stiftung (2019), 7 pp.
"Bei den Algo.Rules handelt es sich um einen Katalog an formalen Kriterien, die beachtet werden müssen, um eine gesellschaftlich förderliche Gestaltung und Überprüfung von algorithmischen Systemen zu ermöglichen und zu erleichtern. Sie legen eine Grundlage für ethische Erwägungen und für die
...
Steering AI and Advanced ICTs for Knowledge Societies: A Rights, Openness, Access, and Multi-Stakeholder Perspective
Paris: UNESCO (2019), 197 pp.
"This report recognizes artificial intelligence (AI) as an opportunity to achieve the United Nations Sustainable Development Goals (SDGs), through its contribution to building inclusive knowledge societies. Based on UNESCO’s Internet Universality ROAM framework agreed by UNESCO’s Member States i
...
Implications of AI-Driven Tools in the Media for Freedom of Expression
Institute for Information Law (2019), 39 pp.
"Based on an analysis of the use of AI-driven tools in the light of Article 10 EHCR, this report highlights a number of points for attention and the need for further initiatives. In particular, we signal that:
- There is an important role for member States to ensure that access to innovative technol
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Wie Algorithmen verständlich werden: Ideen für Nachvollziehbarkeit von algorithmischen Entscheidungsprozessen für Betroffene
Gütersloh: Bertelsmann Stiftung; Stiftung Neue Verantwortung (2019), 37 pp.
"Algorithmische Entscheidungsprozesse auch für diejenigen transparent und nachvollziehbar zu machen, die von den Entscheidungen betroffen sind, ist wichtig, damit die Betroffenen die Funktionslogik dieser Systeme verstehen, sich kritisch mit ihnen auseinandersetzen, sie wenn nötig anfechten oder a
...
The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms
Bielefeld: transcript Verlag (2019), 331 pp.
"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 Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algor
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Global Information Society Watch 2019. Artificial Intelligence: Human Rights, Social Justice and Development
Deep Insights
"Artificial intelligence (AI) is now receiving unprecedented global attention as it finds widespread practical application in multiple spheres of activity. But what are the human rights, social justice and development implications of AI when used in areas such as health, education and social service
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Ethics Guidelines for Trustworthy AI
European Commission (2019), 39 pp.
The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity
New York: PublicAffairs (2019), 320 pp.
"The Big Nine who will determine the future of artifical intelligence (AI) - Google, Amazon, Apple, Microsoft, IBM, and Facebook in America; and Baidu, Alibaba, and Tencent in China - serve masters with conflicting interests. Wall Street wants profit now without regard to consequences. The Chinese g
...
Hello World: Was Algorithmen können und wie sie unser Leben verändern
Bonn: Bundeszentrale für politische Bildung (bpb), Sonderausg. (2019), 272 pp.
"Die britische Mathematikerin Hannah Fry stellt Algorithmen als schrittweise Verfahren vor, die dazu dienen, Probleme zu lösen oder ein Ziel zu erreichen. Für Medizin, Polizei, Justiz, Verkehr oder Handel könne das äußert fortschrittlich sein. Doch die bahnbrechende Technik habe ihren Preis - A
...
Tech Giants, Artificial Intelligence, and the Future of Journalism
Oxford: Routledge (2019), ix, 190 pp.
"This book examines the impact of the "Big Five" technology companies – Apple, Alphabet/Google, Amazon, Facebook and Microsoft – on journalism and the media industries. It looks at the current role of algorithms and artificial intelligence in curating how we consume media and their increasing in
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Reflecting the Past, Shaping the Future: Making AI Work for International Development
USAID (2018), 97 pp.
"This document aims to inform and empower those who may have limited technical experience as they navigate an emerging ML/AI landscape in developing countries. Donors, implementers, and other development partners should expect to come away with a basic grasp of common ML techniques and the problems
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