This training course surveys current and emerging technical, legal and policy issues related to AI. We will consider distinct settings where regulation of AI is emerging as a challenge or topic of interest, including data protection laws, sectoral regulatory frameworks (health, agriculture, transport, education, etc.), intellectual property (IP) laws, anti-trust/competition laws, consumer protection laws, cyber and information security laws. We will also touch upon issues such as the proliferation of algorithmic decision-making and autonomous systems; the issues of ethics, fairness, transparency and accountability raised by AI techniques such as machine learning; balances and interactions between regulation and innovation; the effects of AI on human rights and economic well-being. In the end, the training course will give an overview of the main building blocks of national AI and data strategies for development, by using specific examples/case studies of countries that have been successful in formulating AI and data strategies fit for their development purposes.