Abstract
As AI algorithms advance and produce surprising outputs, the question of imagination arises. Can we classify their output as imaginative? And what is their effect on human imagination? Apparently, algorithms follow Kant’s explanations on human imagination, thereby pushing us to update our understanding of imagination by taking into account the co-shaping between humans and their technologies. Such a new understating is offered in this article based on the theories of Don Ihde and Bernard Stiegler. With Ihde, imagination is conceived as tightly linked to perception. Imagination evolves from the modernist task of seeking new points-of-view to a new mode in which technologies present imaginative layers of information on top of reality. With Stiegler, imagination is regarded as tightly linked to memory. He demonstrates how imagination complements memory, serves as a condition to memory/technology and at the same time how imagination itself is conditioned by memory/technology. In this article I develop a new synthesis: imagination as composed of perception and memory. This is the foundation of my layered model of digital imagination. In this model, the task of AI algorithms is the filling in of the layers with data. By producing endless possibilities, these technologies “automate” the Kantian “free play” of imagination, allowing us to examine more options and focus on the best of them. The model reserves the production of meaning to humans. Our role as humans is to generate (or reveal) meaning to the link(s) between layers and establish new layers.
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