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oapen-20.500.12657-612972024-03-27T14:14:28Z AI Ethics in Higher Education: Insights from Africa and Beyond Corrigan, Caitlin C. Asakipaam, Simon Atuah Kponyo, Jerry John Luetge, Christoph Artificial Intelligence Ethics African AI Ethics Responsible Use of Technology Computer Science Training Higher Education in Africa thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy thema EDItEUR::U Computing and Information Technology::UY Computer science This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration. 2023-02-13T17:27:35Z 2023-02-13T17:27:35Z 2023 book ONIX_20230213_9783031230356_39 9783031230356 https://library.oapen.org/handle/20.500.12657/61297 eng SpringerBriefs in Ethics application/pdf n/a 978-3-031-23035-6.pdf https://link.springer.com/978-3-031-23035-6 Springer Nature Springer International Publishing 10.1007/978-3-031-23035-6 10.1007/978-3-031-23035-6 6c6992af-b843-4f46-859c-f6e9998e40d5 2d2b9427-f51c-4773-99ec-10625168ff4b 9783031230356 Springer International Publishing 101 Cham [...] Technische Universität München Technical University of Munich open access
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This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration.
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