  Using individual-level survey data from 2024, this study investigated how
respondent characteristics are associated with a subjective view of generative
artificial intelligence (GAI). We asked 14 questions concerning respondents
view about GAI, such as general view, faulty GAI, autonomous GEI, GAI replacing
humans, and importance of human learning. Regression analysis based on the
ordered logit model revealed that: (1) In some cases, the results of smartphone
and computer usage times differed. Smartphone usage time was negatively
correlated with the importance of human learning, whereas computer usage was
not negatively correlated. (2) Managers and ordinary businesspeople have
positive views of GAI. However, managers do not show a positive view about GAI
being responsible for human decision making. (3) Teachers generally have a
negative view about GAI replacing humans and no need of learning. They do not
have negative views about GAI producing documents unless GAI is faulty. (4)
Medical industry workers positively view GAI if it operates following their
direction. However, they do not agree with the view that GAI replaces humans,
and that human learning is unnecessary. (5) Females are less likely than men to
have a positive view of GAI. In summary, views about GAI vary widely by the
individual characteristics and condition of GAI, and by the question set.
