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Ethics of artificial intelligence / Bernd Carsten Stahl (2022)  

Public Titre : Ethics of artificial intelligence : Case studies and options for addressing ethical challenges Type de document : Monographie Auteurs : Bernd Carsten Stahl, Auteur ; Doris Schroeder, Auteur ; Rowena Rodrigues, Auteur Editeur : Springer Nature Année de publication : 2022 Importance : 116 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-031-17040-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] droit [Termes IGN] éthique [Termes IGN] manipulation de données [Termes IGN] protection de la vie privée [Termes IGN] sécurité Résumé : (éditeur) This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, ethics, politics, philosophy, economics) to policy-makers, lobbying NGOs, teachers and the educated public. Note de contenu : 1- The ethics of artificial intelligence: An introduction 2- Unfair and illegal discrimination 3- Privacy 4- surveillance capitalism 5- manipulation 6- Right to life, liberty and security of persons 7- Dignity 8- AI for good and the SDGs 9- The Ethics of artificial intelligence: A conclusion Numéro de notice : 24099 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Monographie DOI : 10.1007/978-3-031-17040-9 En ligne : https://doi.org/10.1007/978-3-031-17040-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102574

Artificial intelligence for a better future / Bernd Carsten Stahl (2021)  

Public Titre : Artificial intelligence for a better future : An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies Type de document : Monographie Auteurs : Bernd Carsten Stahl, Auteur Editeur : Manchester [Royaume-Uni] : Manchester University Press Année de publication : 2021 Collection : European Research Council Importance : 128 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-69978-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] apprentissage automatique [Termes IGN] bien-être collectif [Termes IGN] droit [Termes IGN] édition en libre accès [Termes IGN] éthique [Termes IGN] règle Résumé : (éditeur) This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place. Note de contenu : Introduction 1- Perspectives on artificial intelligence 2- Concepts of ethics and their application to AI 3- Ethical issues of AI 4- Addressing ethical issues in AI 5- AI ecosystems for human flourishing: The background 6- AI ecosystems for human flourishing: The recommendations Conclusion Numéro de notice : 28321 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Monographie DOI : 10.1007/978-3-030-69978-9 En ligne : https://doi.org/10.1007/978-3-030-69978-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98275