Using Generative AI in Research in Arts and Humanities

Generative AI opens novel avenues for research in the Arts and Humanities, enabling the creation and analysis of vast amounts of synthetic data and the simulation of complex social systems. However, these AI tools present significant practical and ethical challenges. How transparent are the algorithms used in AI-driven research? How can researchers and participants fully understand the impact of these algorithms? Navigating the ethical complexities of AI-generated content is crucial, especially given the well-documented bias in training datasets for large language models (LLMs).

This day workshop provides a platform for delving deeper into these critical issues, exploring the implications and impacts of generative AI on research methodologies and ethical considerations. Concepts such as ownership, creativity, originality will be critically interrogated. It also offers a collaborative space to discuss strategies for mitigating risks such as data privacy, bias, and academic integrity.

A provisional programme is as follows:

10h00 – 10h30 Welcome (with refreshments)

10h30 – 11h15 A keynote by Prof Miles Berry

11h15 – 11h30 Break

11h30 – 12h30 World Cafe session on the role of GenAI in creative processes

12h30 – 13h30 Lunch

13h30 – 14h00 Talk by Dr Adam Cox, Dr Yuwei Lin, Dr Sean Tunney & Dr Athanasia Batziou

14h00 – 15h00 World Cafe session on ethical issues of using GenAI in research in arts and humanities and responsible use

15h00 – 15h30 Screening (tbc)

15h30 – 16h00 Reflection and Closing

This is a hybrid event. In-person workshop will take place in the Sir David Bell Building at the University of Roehampton where accessible facilities are available (Rooms tbc). The links for the online sessions will be circulated to the participants who register prior to the event.