These sessions examine how advances in artificial intelligence—especially large language models (LLMs)—are likely to reshape social science research. They introduce the basic principles behind the technology and explain why LLMs matter for the ways researchers search for information, generate and refine text, and support analysis. The lectures also provide practical guidance on the current landscape of LLM tools, including their typical strengths, limitations, and appropriate use cases in academic work. Finally, the sessions highlight the ethical standards that should guide responsible use of AI in research, with particular attention to academic integrity, transparency, and proper scholarly practice.