Health-related information plays a crucial role in public health management, empowering individuals to make informeddecisions and adopt behaviours that mitigate the effects of potential risks. The internet and the emergence of newtechnologies, such as conversational models equipped with Artificial Intelligence, present opportunities, and challengesin this field. This research focuses specifically on the risk of radon, a natural radioactive gas recognised worldwide asone of the leading causes of lung cancer and a persistent threat over time. The aim of this study is to analyse theinformation provided for this specific risk by two key information access tools: web search engines and AI-basedconversational agents (ChatGPT). To carry out this interdisciplinary research (journalism-communication-computerscience) we employ a mixed methodological design (quantitative and qualitative) and apply methods from the areas ofInformation Retrieval (IR), Big Data, and Artificial Intelligence (AI). The results of this study show that information onthe internet about the risk of radon often lacks relevance and does not meet the information needs of users. We alsofound that some websites provide a significant amount of good quality information but there are often some misleadingcontents. ChatGPT proves to be more accurate in providing relevant and good quality information but contains a higherproportion of misinformation. Consequently, this raises concerns about the integrity of the information provided andemphasises the need to monitor and improve the accuracy of these computational tools.