Conversational AI and the amplified trust paradox in health care

Key Points

• This research aims to investigate the relationship between trust and user interaction with conversational AI in health care.
• Qualitative analysis of user experiences with conversational AI.
• Survey data on trust levels in AI-driven health care solutions.
• Exploration of bias and privacy concerns affecting user trust.
• Increased trust in conversational AI leads to higher user engagement and satisfaction.
• Users experience mixed feelings about privacy and decision-making impacts.
• Certain biases in AI output can undermine trust, affecting health care delivery.