Perception is a term that has limitations when applied to AI functions. It refers to the processes of the human brain, whereas “deep learning” imitates neural processes but is not the same as the neural process of the human brain. When “deep learning” AI image generators present image sequences or offer variations, the images are based on algorithms and vectors predetermined by programmers. However, the results can defy their assumptions and correspond to their own machine logic. The interaction between the generated images and human perception can result in a flow that goes beyond visual correspondence and content logic. For example, tracing the modification sequences of an accident event (such as a person falling or jumping off a bridge) in unpredictable ways can reveal the quality of this machine logic as a simulation of perception.
