I read somewhere that an ML model could detect cancerous tumors, but it was keying off the ruler used to measure tumor size.
> For instance, in our work, we noted that the algorithm appeared more likely to interpret images with rulers as malignant. Why? In our dataset, images with rulers were more likely to be malignant; thus the algorithm inadvertently “learned” that rulers are malignant.