Tue, 2 Dec 2025 1:00 PM - 5:00 PM
Convenor: Dr Anne Alexander (CDH Director of Learning)
This in-person workshop will provide an accessible, non-technical introduction to Machine Learning systems, aimed primarily at graduate students and researchers in the humanities, arts and social sciences. You don’t need any prior knowledge of programming.
We will focus on the technical, ethical and societal implications of embedding Machine Learning systems for classifying and generating texts and images into the world of work, with a particular emphasis on the impact of Large Language Models such as ChatGPT. We will explore these text generation systems in the context of the broader history of AI, including the ‘deep learning revolution’ in image-based Machine Learning systems, which laid the foundations for popular text-to-image generation models such as StableDiffusion.
Participants will have the chance to both learn more about how AI works and also discuss what the embedding of such systems into labour processes, management structures, and resource allocation systems may mean for how society works.
Target audience: Our CDH Methods workshops have limited places and are prioritised for students and staff at the University of Cambridge. However, if space is available, we welcome all participants who want to learn and apply digital methods and use digital tools in their research.
