Stimulating disclosure on specialized and sensitive topics with AIMI by Nottingham University | First presentation of new research findings

​Can AI-generated follow-ups help people say more, especially when the topic is complex, unfamiliar, or uncomfortable?

​Join us for the first presentation of new independent research by Dr. Charlotte Doidge, Prof. Jasmeet Kaler, and Abbie-Louise Smith from the University of Nottingham.

​The study examines how AI-generated, dynamic follow-up questions perform in specialized and sensitive research contexts, compared with static questions.

​The research topic focused on public perceptions of dairy calf welfare in the UK as the test case (veterinary medicine).

​This topic creates a useful methodological challenge: participants may have limited prior knowledge, mixed feelings, or discomfort expressing their views.

​During the session, Dr. Doidge will share:

• ​the study design

• ​early findings

• ​what AI-generated follow-ups add compared with static questions

• ​how respondents elaborate, introduce new details, and discuss underexplored topics

​The webinar is part of Glaut Research: our Research on Research, our open program with academic and independent partners evaluating AIMIs through evidence-based experimentation.