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Anglický jazyk
Trustworthy AI
Autor: Damian Okaibedi Eke
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... Viac o knihe
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O knihe
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.
Damian Okaibedi Eke is Assistant Professor at the School of Computer Science, University of Nottingham, UK.
Kutoma Wakunuma is Associate Professor in Information Systems at De Montfort University where she works within the Centre for Computing and Social Responsibility (CCSR).
Simisola Akintoye is an Associate Professor of Law at Northumbria University School of Law. She is interested in multidisciplinary research around legal and ethical regulation of Emerging Technologies and Corporate Sustainability.
George Ogoh is a Senior Research Fellow in the School of Computer Science, University of Nottingham.
- Vydavateľstvo: Springer Nature Switzerland
- Rok vydania: 2025
- Formát: Hardback
- Rozmer: 216 x 153 mm
- Jazyk: Anglický jazyk
- ISBN: 9783031756733
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