Artificial intelligence (AI) for social sciences allows the study of social phenomena using data-driven methods to generate insight from large-scale, digital trace data. Data of human traces has become abundant in the digital age, as human and machine agents interact to build increasingly complex, diverse, and interdependent systems. For example, people connect and interact through online social networks, allowing them to participate in various social activities. In this course, we will attend to these prospects and challenges of AI for social sciences, as well as to innovative use cases. Key aspects include the use of novel (often unstructured) datasets, scaling analyses to large-scale datasets with large population sizes, and using AI to improve decision-making for the better of society. Among others, we will answer specific questions of immediate impact in our course: How can AI help reaching the United Nations’ Sustainable Development Goals? How can AI foster equality? How can AI improve development aid?