This project-based course focuses on the design, development, and evaluation of AI systems that prioritize trustworthiness through fairness, transparency, accountability, and robustness. Students will work in teams to tackle real-world problems, applying ethical frameworks, technical tools, and governance strategies to ensure AI systems align with societal values. The course emphasizes hands-on implementation, critical analysis, and stakeholder communication.

For assessment of technical merit, report, and presentation, the project committee assigns two examiners, including the supervisor. The Supervisor is required to give detailed grading reports on all aspects of assessment. The Assessor will evaluate the CILOs 2-4 of the project. The Course Leader will review all projects, moderate consistency across a wide range of projects, and, where necessary, resolve discrepancies between grading of the Assessor and the Supervisor, drawing on the expertise of domain experts as needed.

Dissertation-type Course:

This course falls under the academic regulation for dissertation-type courses (AR12.6). The course assessed through 100% coursework.

Each student is assigned a supervisor from the academic staff for individual consultation.

The normal duration of the course is two semesters, after which the dissertation must be submitted.

The maximum duration of the course is four semesters, after which no further extension must be permitted.

Dissertation-type courses may NOT be repeated.