[3I5-OS-4c] 信頼と文脈のインタラクションデザイン

[3I5-OS-4c-02] The Impact of Disease Risk on the Reliability of AI in a Chest CT Reading Tests

〇Hisashi Takagi¹, Li Yang², Masatugu Komari³, kazunori Terada¹ (1. Gifu University, 2. Nagoya University, 3. Osaka Electro-Communication University)

Keywords:AI, Reliability

Trust in AI is affected by biases, and the impact of aversion bias in particular on trust is not well understood. In this study, we focused on algorithm aversion bias and examined the impact of disease risk on AI reliability in reading tests. Participants were presented with different levels of disease risk (10%, 40%, 60%, and 90%) and asked whether they would undergo additional testing if the AI and physician were readers of chest CT images. Results of the experiment showed that the magnitude of risk affected reliability, but not the reliability of the AI and the human physicians. This suggests that in situations where the magnitude of risk is explicit and no intentionality toward the patient is assumed, the reliability of reading is the same for human and AI physicians.