CDH Methods: Accessible and Inclusive Images and Imaginaries of AI New
This workshop, organised in collaboration with Dr Ann Borda (Alan Turing Institute), will provide an accessible, non-technical introduction to AI systems for working with images (such as image classification, analysis and generation) and discuss sources of bias and problems of interpretation. Through discussion and hands-on exercises, we will demonstrate some of the ways in which image-generation models reproduce bias and stereotypes. We will use a data justice lens to:
- Address the hidden assumptions, abilities, knowledges, and interpretations that shape how AI is represented in images and is used in image generation;
- Explore ways to make AI more accessible to different human capabilities;
- Investigate how to make AI outputs more representative of diverse populations, reflecting a broader range of lived experiences.
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
You will need your own laptop for this session. Please complete this questionnaire to assist with the organisation. You will need to be logged onto your University Google Account instructions here
Number of sessions: 1
# | Date | Time | Venue | Trainer | |
---|---|---|---|---|---|
1 | Mon 2 Dec 13:00 - 16:30 | 13:00 - 16:30 | Cambridge University Library, Milstein Room | map | Dr Anne Alexander |
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.
Booking / availability