Course: AI Ethics, Inclusion & Society

Meet your course developers in this short video. Learn more about what makes us tick, our stories, and why we think AI ethics is worth talking about. Explore the value …

What are the biggest challenges and opportunities developing countries might face in adopting AI-driven healthcare solutions? In this short video, Dr Clara Aranda Jan discusses the challenges and opportunities for global …

Introduction to Dr Clara Aranda Jan, Associate Professor of Digital & Health Entrepreneurship at University College London.

Healthcare data are more dense in certain regions.  However, the world experiences a diversity of disease burdens and genetic profiles. Dr Clara Aranda Jan discusses whether we should factor in …

Defining: AI in Healthcare AI in healthcare refers to the use of computer systems to analyse complex medical data and support clinical decision-making. Although still a relatively new addition to …

In this short video, Professor Martin Hendry discusses the importance of ethical learning for both learners and educators.

Professor Martin Hendry offers concluding thoughts on AI, education, and ethical literacy.

Professor Martin Hendry discusses if bias is inherent in AI and how that is reflected in education.

Professor Martin Hendry discusses whether AI impacts education and if so, how.

In this video, Professor Martin Hendry discusses what ethical literacy really is and why it is important in education.

Bias in AI Systems As we build AI systems, we are at risk of replicating the biases already inherent in society. If there are some groups that are under-represented in …

This short video is an introduction to Professor Martin Hendry, Vice Principal and Clerk of Senate, University of Glasgow. In this clip Professor Hendry discusses his contributions to AI ethics …

The previous video addressed how many countries and populations in the Global South are leading in the development of AI-driven healthcare solutions.  TASK: Research an AI-driven healthcare solution that could …

Introduction This section will explore health data in depth. We will first define health data, then look at “different from the typical” types of health data through two case studies. …

Recognising Patterns in Medicine: Clinical Bioinformatics/Health Informatics  The idea of “learning from patterns” or “statistical learning” has been applied to healthcare for decades. However, recently the explosion of AI technologies …