Generative Artificial Intelligence (AI) tools are used to create art-like outputs and aid in the creative process. While these tools have potential benefits for artists, they also have the potential to harm the art workforce and infringe upon artistic and intellectual property rights. Without explicit consent from artists, Generative AI creators scrape artists' digital work to train Generative AI models and produce art-like model outputs at scale. These outputs are now being used to compete with human artists in the marketplace as well as being used by some artists in their generative processes to create art. We surveyed 459 artists to investigate the tension between artists' opinions on Generative AI art's potential utility and harm. This study surveys artists' opinions on the utility and threat of Generative AI art models, fair practices in the disclosure of artistic works in AI art training models, ownership and rights of AI art derivatives, and fair compensation. We find that artists, by and large, think that model creators should be required to disclose in detail what art and images they use to train their AI models. We also find that artists' opinions vary by professional status and practice, demographics, whether they have purchased art, and familiarity with and use of Generative AI. We hope the results of this work will further more meaningful collaboration and alignment between the art community and Generative AI researchers and developers.

翻译：生成式人工智能（AI）工具被用于创作类艺术输出并辅助艺术创作过程。尽管这些工具对艺术家具有潜在益处，但也可能对艺术从业者群体造成伤害，并侵犯艺术与知识产权。在未获得艺术家明确同意的情况下，生成式AI开发者抓取艺术家的数字作品以训练其模型，并大规模生产具有艺术性的模型输出。这些输出如今既被用于与人类艺术家在市场上竞争，也被部分艺术家用于辅助自身创作过程。我们对459名艺术家展开调查，探究艺术家对生成式AI艺术潜在效用与危害之间矛盾的看法。本研究调查了艺术家对以下问题的观点：生成式AI艺术模型的效用与威胁、AI艺术训练模型中艺术作品披露的公平实践、AI艺术衍生品的所有权与权利，以及公平补偿机制。研究发现，绝大多数艺术家认为模型创作者应被要求详细披露训练其AI模型所使用的艺术作品与图像。我们还发现，艺术家的观点因职业身份与实践、人口统计学特征、是否购买过艺术品，以及对生成式AI的熟悉程度和使用情况而异。我们希望本研究成果能促进艺术界与生成式AI研究人员及开发者之间更有意义的合作与共识。