Director - The Bayes Centre, Professor of Artificial Intelligence - School of Informatics
Professor of Artificial Intelligence at the University of Edinburgh
Michael is also Director of the Bayes Centre, the Universityʼs innovation hub for Data Science and AI. Michael has worked in AI for the past twenty years, and his research interests are mainly in multi-agent systems, i.e. systems where either artificial or human agents collaborate or compete with each other. Most recently, he has been working on algorithmic fairness and other aspects of ethical AI, including the development of human-centric AI methods to understand and resolve usersʼ concerns with online platforms.
Coursera
Discover how data is shaping our future and understand the ethical considerations that come with it. This course delves into AI, responsible innovation, and ensuring a just society through data ethics.
EdX
Embark on an enlightening journey into the world of data ethics, artificial intelligence, and responsible innovation with this essential online course from edX. Understand the ethical considerations necessary when dealing with predictive policing, medical robots, smart homes, cities, and AI technologies to ensure they are developed and implemented responsibly.