Workshop
15:15 – 16:45, 21 May

Local LLMs for Design Research: Considerations fro Ethical and Environmental use of AI 

Presented by
Ben Drusinsky & Simon Meienberg

AI is perceived as a threat to academic integrity. It is often met with strict countermeasures and rules or disregard. However, mastering AI tools, especially those outside the control of big corporations, can equip researchers and students with the know-how and tools to deepen their research and explore alternative eco-social futures.

Mainstream AI tools offer convenience and ease of use, but they also obscure the ethical and environmental costs of LLMs and perpetuate biases. Running LLMs locally on personal computers offers significant benefits for researchers, including privacy, reduced ecological footprint, cost savings, and, foremost, greater control over research tools.

This workshop explores the use of locally run large language models (LLMs) for PhD and early-career researchers in design research. Participants will learn how to install lightweight LLMs on their own computers for literature and data analysis and integrate them into their research and writing process, while gaining an understanding of the technical, ethical, and ecological dimensions of AI use in general and in academic contexts.