Co-located Friday 6th June. Morning.
Workshop on Generative AI: A Problematic Illustration of the Intersections of Racialized Gender, Race and Ethnicity and their Impact on Digital Heritage
Dustin Hosseini, University of Strathclyde, University of Cumbria, University of Glasgow, Nayiri Keshishi, University of Surrey and Milena Dobreva, University of Strathclyde
Introduction
This workshop aims to develop practical awareness and understanding of the problematic nature of using generative artificial intelligence (AI) within the digital heritage domain. Specifically, this workshop aims to develop critical and analytic thinking around the underpinnings of generative AI along with what generative AI (re)produces concerning race and gender.
By discussing a set of examples, the workshop illustrates various issues around the misrepresentation of race and gender in AI-generated images. It will also provide the space for a broad discussion on the question of how can heritage professionals, as well as academics active in the digital heritage domain ensure that generative AI creations are more accurate and equitable representations of peoples/cultures/objects.
Participants are invited to bring a device (laptops, tablet or phones with internet access are all suitable).
Format
The workshop will be 90 minutes long. It will require participants to bring their own device. The workshop will be face to face, including hands-on activity, discussion in small groups and peer learning. The schedule includes:
- Introduction – examples from AI generated images
- Activity for the participants (experimentation with AI generated images)
- Discussion: types of issues and possible solutions
Recommended Reading (pre-workshop)
Hosseini, D. D. (2024). Generative AI: a problematic illustration of the intersections of racialized gender, race, ethnicity. [pre-print] https://doi.org/10.31219/osf.io/987ra
Further references
Benjamin, R. (2019). Race After Technology: Abolitionist Tools for the New Jim Code. Polity Press.