Unit name | Responsible AI |
---|---|
Unit code | COMSM0027 |
Credit points | 10 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Professor. Charlesworth |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
None |
School/department | School of Computer Science |
Faculty | Faculty of Engineering |
This unit gives a solid grounding in fairness, accountability, transparency, privacy and trustworthiness in AI, and related concepts relating to ethics, law and regulation. Using case studies we will present and analyse these concepts from the perspective of industry, academia and government. Wherever possible these case studies will be drawn from PhD projects from earlier-cohort CDT students or other PhD students in the school.
Upon successful completion of this unit students will be able to:
Teaching will be delivered through a series of mostly synchronous sessions, including lectures, seminars, practical activities, discussion groups and self-directed exercises.
The unit will be assessed through an essay (~ 2,000 words) drawing on literature study and selected case studies. (100%) ILOs 1-4.
Selected literature, references and online material will be provided at the start of the unit