Course Details in 2026/27 Session


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Module Title LM AI and Global Affairs
SchoolGovernment
Department Political Sci & Intern'tl Stud
Module Code 08 42222
Module Lead Martin Waehlisch
Level Masters Level
Credits 20
Semester Semester 2
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Lecture-20 hours
Seminar-10 hours
Guided independent study-170 hours
Total: 200 hours
Exclusions
Description The AI and Global Affairs provides postgraduate students with an advanced, practice-based understanding of how artificial intelligence is transforming global governance, diplomacy, and international policy. The module combines conceptual learning with lab-style sessions where students explore and critically assess AI systems, including large language models (LLMs), policy simulators, and data-driven analytical tools. Emphasis is placed on responsible and ethical AI use, including transparency, bias, and accountability. Students apply both theoretical and practical insights to design, test, and evaluate AI-supported approaches to real-world global challenges—such as conflict prevention, climate governance, or digital diplomacy. The course equips learners with advanced analytical, ethical, and practical skills for critically engaging with the opportunities and risks of AI in global affairs.

Learning Outcomes By the end of the module students should be able to:
  • Critically analyse key theoretical and ethical debates on AI's role in international relations and global governance.
  • Demonstrate advanced AI literacy through practical engagement with low-code/no-code AI tools and large language models (LLMs) in policy and research contexts.
  • Evaluate the geopolitical, ethical, and institutional consequences of AI-driven global transformations.
  • Design and execute an applied project or policy simulation using AI-assisted methods to address a complex global challenge.
Assessment
Assessment Methods & Exceptions Assessment:

Applied Policy Project – 75%
2,500-word written coursework
Reflective Research Log – 25%
1,000-word critical reflection

Reassessment:

Reassessment by failed component

Other
Reading List