Anatomical errors are the most widely reported AI image artifact, and they cluster in a predictable set of places. The reason is mechanical: a generative model does not maintain a persistent count of objects in a scene. It predicts what local patches of pixels should look like, and it does so without a running tally of how many fingers it has already drawn. When a hand is small, angled away from the camera, or partially occluded, the model has few reliable patterns to draw on and the count drifts.
What to check, in order of how often it fails:
Fingers. Count them. Look for a sixth finger, a finger that splits into two near the tip, a joint that bends the wrong way, or a thumb that emerges from the wrong side of the palm. Long fingers are also a common tell — the model stretches proportions when it is uncertain where the hand ends.
Teeth. AI portraits often show too many teeth, teeth of uniform size and shape, or a row that continues past where the mouth should close. Individual teeth may merge into a single continuous band.
Ears. Ears are low-attention regions. They are frequently asymmetric, missing an inner fold, or shaped like a generic ear template that does not match the other side of the head.
Limb junctions. Where an arm meets a shoulder, or a leg meets a hip, the model sometimes leaves a seam, an extra limb stub, or a joint that connects at an anatomically impossible angle.
One caution carries over from the previous chapter: real photographs also produce bad hands. Motion blur, low light, and heavy compression can hide a finger or merge two together. A single anatomical oddity is a clue, not a verdict. What raises confidence is a cluster — a hand with six fingers and a mouth with too many teeth in the same image is far harder to explain innocently than either alone.