Show/hide contentOpenClose All
Curricular information is subject to change
On successful completion of this module students should be able to:
1. Demonstrate an understanding of key concepts in ethical AI
2. Describe the state of the art in addressing issues of bias from a theoretical, technical and regulatory perspective
3. Critically evaluate the ethical implications of an AI system
4. Engage in contemporary debates in the field of ethical AI
5. Conduct a formal ethical audit of an AI system
Student Effort Type | Hours |
---|---|
Lectures | 40 |
Autonomous Student Learning | 260 |
Total | 300 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: Project - Design an Audit for a Proposed AI System. Involves a state of the art review of existing approaches and building on these to design a bespoke ethics audit of a specific kind of AI system. |
Unspecified | n/a | Graded | No | 100 |
Resit In | Terminal Exam |
---|---|
Autumn | No |
• Feedback individually to students, post-assessment
Not yet recorded.
Name | Role |
---|---|
Marion Bartl | Lecturer / Co-Lecturer |
Dr Thompson Kwarkye | Lecturer / Co-Lecturer |
Abhishek Mandal |
Lecturer / Co-Lecturer |
Lecture | Offering 51 | Week(s) - 37, 38 | Fri 10:00 - 15:50 |
Lecture | Offering 51 | Week(s) - 37, 38 | Mon 10:00 - 15:50 |
Lecture | Offering 51 | Week(s) - 37, 38 | Thurs 10:00 - 15:50 |
Lecture | Offering 51 | Week(s) - 37, 38 | Tues 10:00 - 15:50 |
Lecture | Offering 51 | Week(s) - 37, 38 | Wed 10:00 - 15:50 |