Trust and privacy have emerged as significant concerns in
online transactions. Sharing information on health is especially
sensitive but it is necessary for purchasing and utilizing health
insurance. Evidence shows that consumers are increasingly
comfortable with technology in place of humans, but the
expanding use of AI potentially changes this. This research
explores whether trust and privacy concern are barriers to the
adoption of AI in health insurance. Two scenarios are compared: The first scenario has limited AI that is not in the interface and its presence is not explicitly revealed to the
consumer. In the second scenario there is an AI interface and
AI evaluation, and this is explicitly revealed to the consumer.
The two scenarios were modeled and compared using SEM
PLS-MGA. The findings show that trust is significantly lower in
the second scenario where AI is visible. Privacy concerns are
higher with AI but the difference is not statistically significant
within the model.
This is an Open Access Article. It is published by Taylor and Francis under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/