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Art and the science of generative AI: A deeper dive
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A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The generative capabilities of these tools are likely to fundamentally alter the creative processes by which creators formulate ideas and put them into production. As creativity is reimagined, so too may be many sectors of society. Understanding the impact of generative AI - and making policy decisions around it - requires new interdisciplinary scientific inquiry into culture, economics, law, algorithms, and the interaction of technology and creativity. We argue that generative AI is not the harbinger of art's demise, but rather is a new medium with its own distinct affordances. In this vein, we consider the impacts of this new medium on creators across four themes: aesthetics and culture, legal questions of ownership and credit, the future of creative work, and impacts on the contemporary media ecosystem. Across these themes, we highlight key research questions and directions to inform policy and beneficial uses of the technology.
Forward citations
Cited by 3 Pith papers
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Generative AI and Creative Work: Narratives, Values, and Impacts
Dominant media and corporate narratives about generative AI in creative work promote automation, efficiency, concept over execution, artifact over process, and short-term skills, marginalizing artists' perspectives.
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What's Behind the Magic? Audiences Seek Artistic Value in Generative AI's Contributions to a Live Dance Performance
Audiences rated AI-generated visuals in a dance performance as more artistic when they were not told beforehand that AI was involved.
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CRAFT: Designing Creative and Functional 3D Objects
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