Doctor Who?: Norms, Care, and Autonomy in the Attitudes of Medical Students Toward AI Pre- and Post-ChatGPT.

Prahl, Andrew; Tong Weng Jin, Kevin

This study adopts the combined TAM-TPB model to investigate attitudes and expectations of machines at a pre-career stage. We study how future doctors (medical students) expect to interact with future AI machinery, what AI usage norms will develop, and beliefs about human and machine autonomy. Semi-structured interviews were conducted. Wave one (N = 20) occurred 6 months prior to the public release of ChatGPT; wave two (N = 25) occurred in the 6 months following. Three themes emerged: AI is tomorrow, wishing for the AI ouvrier, and human contrasts. Two differences were noted preversus post-ChatGPT: (1) participants began to view machinery instead of themselves as the controller of knowledge and (2) participants expressed increased self-confidence if collaborating with a machine. Results and implications for human-machine communication theory are discussed.

MEDICAL students; CHATGPT; ARTIFICIAL intelligence; SELF-confidence; HUMAN-machine relationship; MEDICAL care

Human-Machine Communication, 2024, Vol 8, p163

2638-602X

Academic Journal

10.30658/hmc.8.8