Impact of Risk Perception on Predicting Trust in AI Technology Adoption: A Study in the Health Insurance Sector

Concerns regarding consumer intentions and trust have been highlighted by the quick adoption of AI in the health insurance industry.This study looks at how trust and the desire to adopt AI-based health insurance solutions are shaped by risk perception.Perceived risks, such as worries about data privacy, the accuracy of AI-driven judgments, and ethical issues may impact consumer confidence.This study investigates the relationship between these risk perceptions and elements that foster trust, including explainability, transparency, and the perceived advantages of AI applications.The relationship between risk perception, trust, and technology adoption is ascertained using a quantitative technique that involves survey data collection and statistical analysis.The results demonstrate how important trust is in allaying worries and promoting adoption of AI in health insurance.This research provides valuable perspectives on how consumers perceive and intend to interact with AI, adding to the expanding field of AI adoption studies.The findings can help insurers, legislators, and AI developers devise plans to mitigate risks, build confidence, and encourage the prudent application of AI in the health insurance industry.