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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: Literature review - theoretical approaches to AI ethics | Unspecified | n/a | Graded | No | 15 |
Assignment: Project - Audit and proposed solution - Pre-proposal, proposal, midterm presentations, final report and presentations |
Unspecified | n/a | Graded | No | 40 |
Assignment: Review of approaches to ethical audits of AI systems | Unspecified | n/a | Graded | No | 15 |
Assignment: Survey of existing toolkits/audits for ethical AI | Unspecified | n/a | Graded | No | 15 |
Assignment: Survey of ethical issues in artificial intelligence | Unspecified | n/a | Graded | No | 15 |
Resit In | Terminal Exam |
---|---|
Autumn | No |
• Feedback individually to students, post-assessment
Not yet recorded.