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Introduction to Computational Creativity
In the contemporary landscape of rapid technological advancements, Artificial Intelligence (AI) has emerged as an important factor in reshaping practices, world-views and expectations. One of the most intriguing and thought-provoking areas of AI's influence is its intersection with creativity. By deconstructing the cognitive processes involved in human creativity, researchers can design algorithms that simulate these processes. This involves machine learning, neural networks, evolutionary algorithms, and other AI techniques that enable computers to recognize patterns, generate new ideas, and refine them through iterative processes. Can AI's outputs—whether in painting, composing, writing, or other forms of artistic production—be considered genuinely creative, or are they mere reflections of the data and rules we feed into these systems?
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Creation Without Creativity Decentering Machine Aesthetics
Written from the perspective of visual artists grappling with the histories and futurities of technology, the authors explore the intricate relationship between creativity, Generative AI, and human-machine collaboration. Through text and images, the authors examine the blurred lines of authorship in AI-generated art, posing questions about identity and authority. To consider Gen AI's role in human-AI collaboration, references span historical perspectives from Plato to the avant-garde and the more recent development of AI “spawn” as digital companions. Highlighting the challenges of aesthetics in the absence of embodied experience, ethical and metaphysical queries arising from AI-driven developments are emphasized, as is the impact of AI on creativity and our understanding of the world and self.
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