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：生成式人工智能工具被用于创作类似艺术作品的输出内容，并辅助创意过程。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群体造成损害，并侵犯艺术与知识产权。生成式AI开发者未经艺术家明确同意，便抓取其数字作品以训练模型，并大规模生成类似艺术的输出内容。这些输出如今既被用于在市场上与人类艺术家竞争，也被部分艺术家用于自身的生成创作过程。我们对459位艺术家展开调查，以探究其对生成式AI艺术潜在效用与危害的矛盾立场。本研究通过问卷调查，探讨艺术家对生成式AI艺术模型效用与威胁的看法、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归属，以及公平补偿机制。研究发现，绝大多数艺术家认为模型开发者必须详细披露用于训练AI模型的艺术作品与图像数据。同时，艺术家的观点因其职业地位与创作实践、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存在差异。我们希望本研究成果能促进艺术界与生成式AI研究者及开发者之间更富有意义的协作与共识。