AI Ethics in Higher Education: Insights from Africa and Beyond

This book discusses the integration of AI ethics into higher education curriculums, analyzing the present and future states of AI ethics education in local computer science and engineering programs. It provides best practices and use cases for teaching and addresses organizational challenges, with implications for AI ethics in various fields.

Format: Paperback / softback
Length: 101 pages
Publication date: 21 January 2023
Publisher: Springer International Publishing AG

This open-access book tackles the urgent issue of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. To accomplish this, 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 solutions to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of immense 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.

The book begins by providing an overview of the ethical challenges posed by AI, including issues such as bias, transparency, accountability, and responsibility. It then explores the current state of AI ethics education in local computer science and engineering programs, including the types of courses offered, the teaching methodologies used, and the resources available to students.

The authors then present a series of best practices and use cases for teaching AI ethics, including case studies, simulations, and interactive exercises. They also discuss the challenges that organizations face in implementing AI ethics programs, such as lack of resources, cultural barriers, and resistance to change.

The book concludes by reflecting on the practical implications of different theoretical approaches to AI ethics, such as utilitarianism, deontology, and virtue ethics. The authors argue that a multi-disciplinary approach is necessary to address the complex ethical challenges posed by AI, and that a combination of theoretical knowledge and practical skills is essential for developing ethical AI developers.

Overall, this book is a valuable resource for faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas. It provides a comprehensive and practical guide to teaching AI ethics, and offers insights into the current state of AI ethics education in local computer science and engineering programs.

Weight: 180g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031230349
Edition number: 1st ed. 2023