How can our teaching and learning remain grounded in reality and alert to the ecological, social and educational implications of statistical systems often referred to as ‘AI’? Regardless of the context and scope, how can we teach potentially complex subjects and processes to diverse learners? How can we understand these processes ourselves?

This brand new course, which consists of four days on campus at Cambridge and one day online (broken into three blocks), adds to our Data School suite and will introduce participants to many creative critical approaches to diverse teaching practices via making, investigating, playing and prototyping to keep our teaching relevant and informed. We will not be using Generative AI as a tool or a teaching aid, but instead, exploring the impact, materiality and processes ‘AI’ involves, via games and drawing, paper prototyping, critical creative coding, ghost stories, playing, short talks and insights into recent research projects and practices. Woven throughout the school is a consideration of the ecological and social impact of AI Infrastructure.

For our full Data School programme see www.cdh.cam.ac.uk/DataSchools