ETHICAL AND LEGAL IMPLICATIONS OF AI
INTRODUCTION TO HEALTH DATA SCIENCE: CHALLENGES IN HEALTH DATA
This course introduces and explores a number of pressing legal and ethical issues arising in the ethics of artificial intelligence. Using the recently published EU Draft AI Regulation paper as our focus we explore what we take to be key issues of concern and debate. These key issues include: the problem of data bias and big data more generally; the desire for transparency; question of responsibility and accountability and the rise of concerns around the use of deepfakes. This course would be of interest to students from computer science, philosophy, law and health sciences
In this course I led students to consider some ethical consideration of data science in the healthcare setting. This course was part of a programme in the Medical School.
CONTEMPORARY TOPICS IN PHILOSOPHY
A team taught course in which we examine questions such as: Is eating animals immoral? Is being a good or bad person a matter of luck? Should anyone be able to set limits on what you can do with your own body, even if it's ‘for your own good’? Should everyone be allowed to state their mind, even if their views are harmful or offensive? Do you have a moral obligation to help those worse-off? Are you unknowingly biased against underprivileged groups?
This team-taught course is designed to expose students to topics of contemporary research interest. Each lecturer will teach 3-4 weeks of the course on topics related to their current research. The general theme of the course for this academic year is: Human and Non-Human Minds. Students will choose to write assessments from this broad spectrum of topics.