Cambridge Digital Humanities course timetable

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.

This session introduces the command line, sometimes also known as the shell or the terminal, to humanities researchers. No prior knowledge of the command line or programming of any kind is required or expected from attendees.

A basic understanding of how to use the command line provides a step change in how productive you can be when working with data or text files, particularly large number of files or very large files, which can be hard to manipulate in a graphical interface. Some tools and programs can only be used from the command line, and this session aims to give you the confidence to work with them. In the session we primarily look at seven George Eliot novels and a comparative set of seven Dickens novels (about 3.4 million words in total) but this session should be of use to any humanities researchers working with text collections and the principles have far broader applicability.

We'll focus on running programs which come pre-installed on Mac and Linux, and which can be easily added to Windows. We'll combine these programs in productive ways, discuss how to discover and use the options for each, how to send results to files, and how to work efficiently on the command line so you don't have to retype or remember everything you've done.