External Lecturer:
Roberto Trotta as lead, plus guest lecturers
Course Type:
PhD Course
Academic Year:
2021-2022
Period:
All year
Duration:
20 h
Description:
This module will provide an introduction and overview to ethical issues in ML and AI, and illustrate them with contributions from guest speakers from a variety of fields. Topics covered will include bias in supervised systems, fairness, legal aspects of AI, data collection and exploitation, privacy, gender and racial inequalities, and many others.
Research Group: