Data and AI ethics
From Tracy Steinberg
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.
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
Questions? Email Digital Skills and Training at [email protected]