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（Generative AI）工具被用于创作类艺术输出并辅助创意过程。尽管这些工具对艺术家具有潜在益处，但它们也可能对艺术工作者造成伤害，并侵犯艺术及知识产权。未经艺术家明确同意，生成式人工智能开发者抓取艺术家的数字作品来训练模型，并大规模生成类艺术输出。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式创作过程。我们对459名艺术家进行了调查，以探究艺术家对生成式人工智能艺术潜在效用与危害之间的看法冲突。本研究调查了艺术家对生成式人工智能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，以及公平补偿等问题的意见。我们发现，绝大多数艺术家认为模型创作者应被要求详细披露其用于训练AI模型的艺术品和图像内容。同时，艺术家的意见因职业地位与实践、人口统计特征、是否购买过艺术品，以及对生成式人工智能的熟悉程度和使用情况而异。我们希望这项研究结果能推动艺术界与生成式人工智能研究人员及开发者之间开展更有意义的合作与共识。