The article critically examines Google's recent updates to its AI health feature, particularly focusing on the Gemini models. While Google claims these advancements will expand the coverage of health topics, experts remain concerned about the accuracy and reliability of such information. The inclusion of user-generated suggestions, termed 'What People Suggest,' raises further alarms about the quality of health advice being disseminated. A study revealed the Gemini chatbot's alarming error rate of 60%, prompting skepticism regarding Google's ability to deliver trustworthy health information, especially after disbanding its dedicated health division in 2021.
Google has closed its health division and continues to rely on AI technology for health information, raising concerns about the accuracy of its outputs.
Despite advancements in AI, Google's Gemini chatbot got basic health-related questions wrong 60% of the time, indicating a significant lack of reliability.
The new 'What People Suggest' feature gathers health advice from non-experts online, adding to the risks associated with Google's AI health information.
With a troubling track record in AI Overviews, experts are skeptical about Google's ability to provide high-quality healthcare information through its AI systems.
Collection
[
|
...
]