When something goes wrong with an AI system - who pays? This module explains how the law allocates responsibility and manages risk through liability, contracts, and insurance. Learners discover how real examples like self-driving cars or hiring algorithms are handled when harm occurs.

AI is reshaping legal systems and public authority across jurisdictions. This module examines how AI operates in cross-border contexts, focusing on its impact on the legal profession, judicial decision-making, and public administration. It then turns to high-stakes uses of AI in security, facial recognition, and migration control, where questions of human rights, surveillance, and state power become central.

AI is global, but laws differ. This module compares how the EU, US, and China regulate AI and how international coordination is emerging through organisations such as the UN, OECD, and UNESCO. Learners explore why global cooperation matters for both innovation and human rights.

Not all governance comes from government. This module shows how companies and research communities create internal ethics codes, adopt technical standards, and use certification schemes to build trust in AI systems.

In this final module, learners apply what they have learned about regulation, liability, and governance to design a simple governance plan for a fictional AI system. The activity consolidates the main course outcomes and demonstrates practical understanding of how to make AI law work.