Motive perception pathways to the release of personal information to healthcare organizations.

Background: The goal of the study is to assess the downstream effects of who requests personal information from individuals for artificial intelligence-(AI) based healthcare research purposes-be it a pharmaceutical company (as an example of a for-profit organization) or a university hospital (as an example of a not-for-profit organization)-as well as their boundary conditions on individuals' likelihood to release personal information about their health. For the latter, the study considers two dimensions: the tendency to self-disclose (which is aimed to be high so that AI applications can reach their full potential) and the tendency to falsify (which is aimed to be low so that AI applications are based on both valid and reliable data).

Methods: Across three experimental studies with Amazon Mechanical Turk workers from the U.

Compliance with medical recommendations depending on the use of artificial intelligence as a diagnostic method.

Background: Advanced analytics, such as artificial intelligence (AI), increasingly gain relevance in medicine. However, patients' responses to the involvement of AI in the care process remains largely unclear. The study aims to explore whether individuals were more likely to follow a recommendation when a physician used AI in the diagnostic process considering a highly (vs.