Data and AI ethics is a one-hour webinar designed to introduce staff and students to the basic concepts.

Using five genuine and timely data and AI case-studies, the three main philosophical viewpoints, namely deontological, utilitarianism and virtue ethics will be looked at and discussed for each case.

Learners should be prepared to discuss which viewpoint they feel is 'best' or 'most ethical', in the context of each case-study.

Webinar agenda:

• The differences between morals and ethics

• The different types of ethics

• Case study 1:  The Driverless Car

• Case study 2:  Facebook and False Advertising

• Case study 3:  The A Level Exam Algorithm

• Case study 4:  Boston's Street Bump App

• Case study 5:  Hong Kong's Police-Scanning App

• The seven major data ethics principles

• Tools and values of data and AI ethics

• Resources lists

• Next steps

Questions? Email Digital Skills and Training at is.skills@ed.ac.uk