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Title Responsible AI in Africa : challenges and opportunities / Damian Okaibedi Eke, Kutoma Wakunuma, Simisola Akintoye, editors.

Publication Info. Cham, Switzerland : Palgrave Macmillan, [2023]

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 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK Springer    Downloadable
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Description 1 online resource : illustrations.
text file PDF rda
Series Social and cultural studies of robots and AI
Social and cultural studies of robots and AI.
Bibliography Includes bibliographical references and index.
Contents 1. Introducing Responsible AI in Africa -- 2. Epistemic Just and Dynamic AI Ethics in Africa -- 3. Responsible AI in Africa - Challenges and Opportunities -- 4. Working with robots as colleagues: Kenyan perspectives of ethical concerns on possible integration of co-bots in workplaces -- 5. Artificial Intelligence in Africa: Emerging Challenges -- 6. The Use of Gendered Chatbots in Nigeria: Critical Perspectives -- 7. AI Policy as a Response to AI Ethics? Addressing ethical issues in the development of AI policies in North Africa -- 8. Towards Shaping the Future of Responsible AI in Africa.
Summary This open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African values, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa. Damian Okaibedi Eke is Research Fellow at the Centre for Computing and Social Responsibility (CCSR) at De Montfort University, UK. Dr Eke is the Data Governance coordinator for the EU Human Brain Project. His research interests cover critical philosophical issues at the intersection of Technology, Data and Society including; Data Governance, Ethics of Emerging Technologies, Responsible Innovation and ICT4D. Dr. Kutoma Wakunuma is Associate Professor in Information Systems at De Montfort University within the Centre for Computing and Social Responsibility. Her research interests cover social and ethical implications of current and emerging technologies like Artificial Intelligence in the developed and developing world. She is also European Commission Independent Ethics Expert. Dr. Simisola Akintoye is a Senior Lecturer in Law at De Montfort University Centre for Law, Justice and Society. She is an International Privacy Practitioner, Data Protection Consultant and the Data Protection Officer for the EU Human Brain Project. Her research involves legal regulation of emerging technologies at national and international levels.
Note Print version record.
Local Note Springer Nature Springer Nature Open Access eBooks
Subject Artificial intelligence -- Moral and ethical aspects -- Africa.
Artificial intelligence.
Added Author Eke, Damian Okaibedi, editor.
Wakunuma, Kutoma, editor.
Akintoye, Simisola, editor.
Added Title Responsible artificial intelligence in Africa
Other Form: Print version: EKE, DAMIAN O. RESPONSIBLE AI IN AFRICA. [Place of publication not identified] : PALGRAVE MACMILLAN, 2022 3031082176 (OCoLC)1317832071
ISBN 9783031082153 (electronic book)
303108215X (electronic book)
3031082176
9783031082177
9783031082146
3031082141
Standard No. 10.1007/978-3-031-08215-3 doi
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