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AI for Everyone?

We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an unde...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: University of Westminster Press 2022
Matèries:
solutionism; machine learning; social justice; good data; algorithms; AI
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory
thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications
thema EDItEUR::U Computing and Information Technology::UD Digital Lifestyle and online world: consumer and user guides::UDB Internet guides and online services
thema EDItEUR::P Mathematics and Science::PD Science: general issues
thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society
Accés en línia:https://library.oapen.org/handle/20.500.12657/58191
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Sumari:We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times.

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