AI: Artificial Intelligence: Additional Resources

A global perspective on AI AI is much more than just a simple tool powering our smartphones or allowing us to ask Alexa about the latest cinema times. It is a technology that is, in very subtle but unmistakable ways, exerting an ever-increasing influence over our lives - and the more we use it, the more AI is altering our existence. The rise of AI and super-intelligent AI raises ethical issues. AI is the power behind Google's search engine, enables social media sites to serve up targeted advertising, and gives Alexa and Siri their voices. It is also the technology enabling self-driving vehicles, predictive policing, and autonomous weapons that have the ability to kill without direct human intervention. All of these bring up complex ethical issues that are still unresolved and will continue to be the subject of ongoing debate. There are untold how-to books on AI technology, replete with methods to improve and advance the statistics and algorithms of AI; however, the social, ethical and security impacts are often at best a secondary consideration - if discussed at all. This book explores the complex topic of AI ethics in a cross-functional way, alternating between theory and practice. Practical and recent events, and their associated challenges, are presented, such as the collateral effects of the COVID-19 pandemic on the application of AI technologies. The book also gives an up-to-date overview of the potential positive and negative outcomes of AI implementations together with an analysis of AI from an ethical perspective. Before you dive into a world populated with AI, read this book to understand the associated ethical challenges of AI technologies

This open access book takes an innovative and critical look at the ways in which digital data and algorithms are changing the face of higher education in multiple ways. It examines their impact at both the macro scale of universities and systems worldwide, but also at the more subtle level of effects on academics and students. In doing so, it focuses on the day-to-day life of the university, examining how the digital is changing the way that we communicate, learn, and create new knowledge. As well as exploring the role of 'big data' and learning analytics, the book also focuses on areas of academic life not normally considered to be part of datafication, such as the physical structures of surveillance on campus and the ways in which systems of 'quality' in research can morph into regimes of surveillance and algorithmic discipline. Taking an interdisciplinary perspective, the volume interweaves insights from Surveillance Studies, Science and Technology Studies and Postphenomenology. . Its wide-ranging analysis generates fresh, critical new insights into the nature of communication, semiosis, textual practices, subjectivities and knowledge practices at this dynamic and fast-moving juncture in the history and development of higher education worldwide. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by University College London, UK.

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.