The Invisible Risks of AI-Generated Health Information

The integration of Generative AI into health information dissemination presents significant benefits, such as improved accessibility and plain-language explanations. However, it also introduces substantial, often invisible, risks including the potential for widespread harm from inaccurate guidance and the generation of personalized health misinformation by malicious actors. Current institutional frameworks lack the mechanisms to detect, monitor, or address these AI-driven harms, creating a critical oversight gap.

Why it matters

The proliferation of AI-generated health information necessitates a strategic re-evaluation of public health protection mechanisms. Unaddressed, the invisible risks posed by inaccurate guidance and personalized misinformation could erode public trust in health information and lead to adverse health outcomes at a societal scale.

Key insights

• Generative AI systems are increasingly used for summarizing health-related search results, answering medical questions, and providing medical guidance.
• Benefits of AI in health information include enhanced accessibility, 24/7 availability, and overcoming language or literacy barriers.
• Significant risks include the potential for inaccurate guidance to cause harm at scale and the low-cost generation of personalized health misinformation by malicious actors.
• These AI-related health risks are largely undetectable by institutions responsible for public health protection.
• There is a current absence of mechanisms to record or report AI-generated harm outside of the platforms themselves, indicating a lack of accountability and oversight.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2605.23026