Large Language Models (LLMs) and Generative Artificial Intelligence (AI) provide unprecedented opportunities for research and business practice. However, there is a multitude of different tools that researchers theoretically can choose from. This online course is dedicated to the use of AI-powered tools in research. It offers an overview of existing AI tools and how they can be integrated at different stages of research: project planning and organization, literature review, data analysis, and the reporting and communication of results. We will discuss the opportunities these tools provide but also their limitations and how to critically evaluate them. Finally, we will address ethical considerations and the current standards for transparently disclosing one’s own use of AI.

Week 1: Introduction into LLM and AI Tools, effective prompting strategies and caveats when using AI. We will also look into LLM tools for text and image generation, as well as applications of AI in data generation, collection, and analysis. The insights from this workshop session will be applied in a data collection and / or analysis task for session 2.
Week 2: Discussion of own results related to a data collection and analysis task. Additionally, we will cover the selection and critical evaluation of AI tools and explore the options of LLMs for literature research and management.