AI: Artificial Intelligence

• Introduction to Artificial Intelligence (LinkedIn Learning)

  This course is designed for project managers, product managers, directors, executives, and students starting a career in AI. Get a high-level overview of the top tools in the field. First, see what it means for a system to display “intelligence.” Then, learn algorithms and techniques involved in machine learning, artificial neural networks, and deep learning. Once simplified, AI looks less like magic and more like an exciting new set of technology tools.

• Elements of AI (University of Helsinki)

  The Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki, exploring what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.

• Introduction to Generative AI (Google)

  This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.

• Artificial Intelligence : Ethical, Social, and Security Impacts for the Present and the Future, by Julie Mehan

  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

• The University and the Algorithmic Gaze by Lesley Gourlay

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. 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.

• AI Ethics in Higher Education: Insights from Africa and Beyond

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.