Like mentioned in another comment, targeted application of AI/ML can provide excellent results when the expectation is carefully defined and the objective is clearly stated.
Many AI/ML proponents jump directly to a 'black box' attitude where a product enters one side and leaves the other side and a smiley or frown face tells you if the product is good or bad. There are no definitions of dimensional tolerances nor geometric features. It's just good or bad based on the training model. But unfortunately, GIGO applies very strongly to the training model.
Like mentioned in another comment, targeted application of AI/ML can provide excellent results when the expectation is carefully defined and the objective is clearly stated.
Many AI/ML proponents jump directly to a 'black box' attitude where a product enters one side and leaves the other side and a smiley or frown face tells you if the product is good or bad. There are no definitions of dimensional tolerances nor geometric features. It's just good or bad based on the training model. But unfortunately, GIGO applies very strongly to the training model.