It is evident that, currently, generative models are surpassed in quality by
human professionals. However, with the advancements in Artificial Intelligence,
this gap will narrow, leading to scenarios where individuals who have dedicated
years of their lives to mastering a skill become obsolete due to their high
costs, which are inherently linked to the time they require to complete a task
-- a task that AI could accomplish in minutes or seconds. To avoid future
social upheavals, we must, even now, contemplate how to fairly assess the
contributions of such individuals in training generative models and how to
compensate them for the reduction or complete loss of their incomes. In this
work, we propose a method to structure collaboration between model developers
and data providers. To achieve this, we employ Shapley Values to quantify the
contribution of artist(s) in an image generated by the Stable Diffusion-v1.5
model and to equitably allocate the reward among them.

通过使用 Shapley 值来量化艺术家在生成图片中的贡献并公平分配奖励，本研究提出了一种结构化模型开发者和数据提供者之间合作的方法。