The article that I found focuses on the US and China working with AI to help in the field of healthcare, particularly children’s health. Researchers from China and US spoke about AI allowing doctor’s the ability to gain insight on what conditions children may have. Specifically, something that was mentioned was using this technology to help understand what toddlers may have, because they cannot communicate what they may be feeling. The article states that the AI technology was diagnosing diseases correctly 85% of the time, which is staggering. This technology was stated to already be in use in a hospital in China, which is amazing to see. This type of application is great to see being in use in quickened pace. I always hear about the potential applications of AI in healthcare and what it could do, but I finally get to see how it is actually being used. The fact that this technology can assist in diagnosing children who cannot yet speak is far more impressive, as it can allow proper measures to be taken once a diagnosis occurs. Even though we haven’t gained first hand experience with AI, it was definitely a topic through many MIS courses, specifically the Intro to MIS course. Again, the idea of systems thinking seems to come into play. Even though this isn’t an organization, this type of technology interacts with its environment in many ways and that needs to be considered when using AI that uses historical medical data, and current patient data. The minds behind this AI had to have understood all the moving parts that need to work in sync in order for this sort of application to be viable and accurate. However, I do wonder why it is only 85% accurate. It is an amazing number, but I wonder what variables/factors take place that cause the inaccuracy that occurs when diagnosing patients. Furthermore, I wonder if this inaccuracy can be attributed to a lot of dirty data. What do you all think?