CDH Methods | AI at work: a critical introduction to Machine Learning systems New
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. No prior knowledge of programming is required.
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 longer histories 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, resource allocation systems may mean for how society works.
CDH Methods sessions are open to the University of Cambridge staff and graduate students who want to learn and apply digital methods and use digital tools in their research, these sessions may be of particular interest to:
- PhD students in the Arts, Humanities and Social Sciences
- Early Career Researchers in the Arts, Humanities and Social Sciences
- Other Cambridge students and staff welcome
Number of sessions: 1
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Mon 4 Dec 2023 13:00 - 17:00 | 13:00 - 17:00 | Cambridge University Library, Milstein Room | map | Dr Anne Alexander, Emily Sandford, J. O'Neill |
In-person workshop with presentations, demonstrations, discussions and practical activities.
If you require help before the session, such as accessibility support, please email our team at Learning.events@cdh.cam.ac.uk for further assistance.
Anne Alexander is Director of Learning at Cambridge Digital Humanities and co-author of Ghosts, Robots, Automatic Writing: an AI-Level Study Guide.
Emily Sandford is a postdoctoral researcher in the astrophysics group of the Cavendish Laboratory, research fellow at Caius, and member of the Cambridge University and College Union Executive Committee. In previous research she used the machinery of large language models to model planetary systems.
Jarrah O’Neill is a PhD candidate in the Department of Sociology and a member of the Cambridge University and College Union Executive Committee.
Booking / availability