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Trustworthy AI = African Perspectives

Damian Okaibedi Eke - Personal Name; George Ogoh - Personal Name; Simisola Akintoye - Personal Name; Kutoma Wakunuma - Personal Name;

This book is an Open Access Publication. The Guidelines for Trustworthy AI developed by the European Commission High-Level Expert Group on AI is a framework that has been developed to promote and achieve the trustworthiness of AI systems. It provides seven ethical principles that can be operationalised in socio-technical systems to realise responsible AI design and deployment. The content of this book is shaped around these principles. In chapter one, the concept of Human Agency and oversight will be described from the lens of a social-cultural understanding of Agency, Autonomy, and oversight including a debate on the place of human rights and power dynamics.
Beyond the Trustworthy AI discourse, this book will appeal to the wider AI developers community, civil society, policymakers, ICT and the RRI community. It will also appeal to other subject areas within the Social Sciences and Humanities including; Law and Technology and Digital Culture.


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Detail Information
Series Title
-
Call Number
-
Publisher
: Palgrave Macmillan Cham., 2025
Collation
XXVII, 281 hlm; ill., lamp.,
Language
English
ISBN/ISSN
9783031756740
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Sociology
Artificial Intelligence
Human Geography
general
Specific Detail Info
This book is open access, which means that you have free and unlimited access Highlights Africa’s invaluable contributions to the global AI discourse Offers inclusive insights of different phenomena for both developed and developing countries provides unique African perspectives on the global discourse of Trustworthy AI
Statement of Responsibility
Damian Okaibedi Eke, Kutoma Wakunuma, Simisola Akintoye, George Ogoh
Other Information
Cataloger
ida
Source
https://link.springer.com/10.1007/978-3-031-75674-0
Validator
-
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-3-031-75674-0
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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No other version available

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  • Trustworthy AI
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