Researchers have used Google Street View to study hundreds of elements of the built environment, including buildings, green spaces, pavements and roads, and how these elements relate to each other and influence coronary artery disease in people living in these neighborhoods.
Except all they really did was take regional heart disease rates and threw a machine learning task at Google street view. They might as well have made a machine learning model that identities wealthy neighborhood features, not actually things which impact heart disease. This just sounds like a hammer looking for nails.
To be more specific, they took a correlation, slapped ai on it, and found the same correlation out the other side.