Evaluating if trust and personal information privacy concerns are barriers to using health insurance that explicitly utilizes AI

Autor:	Zarifis, Alex, Kawalek, Peter, Azadegan, Aida
Rok vydání:	2024
Předmět:	Computer Science - Computers and Society Computer Science - Artificial Intelligence H.0 A.0 K.4 K.6
Druh dokumentu:	Working Paper
DOI:	10.1080/15332861.2020.1832817
Popis:	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. Comment: Journal of Internet Commerce (2021)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2401.11249 Zobrazit plný text záznamu Plný text ve formátu PDF