Art and the science of generative AI: A deeper dive
Abstract
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.
Cite
@article{arxiv.2306.04141,
title = {Art and the science of generative AI: A deeper dive},
author = {Ziv Epstein and Aaron Hertzmann and Laura Herman and Robert Mahari and Morgan R. Frank and Matthew Groh and Hope Schroeder and Amy Smith and Memo Akten and Jessica Fjeld and Hany Farid and Neil Leach and Alex Pentland and Olga Russakovsky},
journal= {arXiv preprint arXiv:2306.04141},
year = {2023}
}
Comments
This white paper is an expanded version of Epstein et al 2023 published in Science Perspectives on July 16, 2023 which you can find at the following DOI: 10.1126/science.adh4451