Data from: Barriers to the widespread adoption of diagnostic artificial intelligence for preventing antimicrobial resistance

Currently, antimicrobial resistance (AMR) poses a significant challenge
and severely threatens public health, primarily due to the overuse of
antimicrobials. In this survey, conducted across eight countries/areas, we
assessed public preferences for two hypothetical types of artificial
intelligence (AI): one prioritizing individual health (Individual
precedence AI: abbr. Individual-AI) and the other considering the global
threat of AMR (World precedence AI: abbr. World-AI). Our focus here is on
the conflict (social dilemma) between recognizing the importance of AMR
and desiring personalized treatment (for more details on the social
dilemma, see Ito et al. 2022. Sci Rep. 12: 21084). The first question
asked respondents about the desired adoption preference rates of World-AI
versus Individual-AI. The second question inquired whether respondents
were agree or disagree with the standardization of a single AI. The third
question asked which type of AI, World or Individual -AI, should be chosen
if standardization to a single AI was necessary. It is important to note
that the only ideal response combination to resolve the issue of AMR would
be a 100% adoption rate for World-AI (0% for Individual-AI), in favor of
standardization, and choosing World-AI as the unified standard. This
survey thus explores how the social dilemma inherent in AMR may impede the
adoption of diagnostic AI.