AI Governance: A Systematic Literature Review

As artificial intelligence (AI) continues to transform industries, it brings not only innovation but also a range of risks that require careful governance. This course offers a comprehensive overview of existing AI governance frameworks developed by governments, organisations, and companies to manage such risks. Through a systematic literature review of 28 key studies, the course addresses essential questions about AI governance: who is responsible, what is governed, when governance takes place in the AI lifecycle, and how it is implemented. Participants will explore governance approaches across different levels — team, organisational, industry, national, and international — and gain tools to critically assess and apply the most suitable frameworks to their own AI systems. This course is designed for those seeking to understand and navigate the complex landscape of AI governance, including researchers, professionals, and policymakers.