论文标题
图片的力量：使用ML辅助图像生成使人群陷入复杂的社会科学问题
The power of pictures: using ML assisted image generation to engage the crowd in complex socioscientific problems
论文作者
论文摘要
使用生成的对抗网络（GAN）生成人类计算机形象，正在成为一种娱乐和开放艺术探索的良好方法。在这里，我们通过编织精心构造的设计元素来将互动进一步发展，以将ML辅助成像的生成的活动转变为大规模的大规模流行对话，就复杂的社会科学问题（例如联合国可持续发展目标（SDG））和作为公众参与研究的门户的大规模社会科学问题。
Human-computer image generation using Generative Adversarial Networks (GANs) is becoming a well-established methodology for casual entertainment and open artistic exploration. Here, we take the interaction a step further by weaving in carefully structured design elements to transform the activity of ML-assisted imaged generation into a catalyst for large-scale popular dialogue on complex socioscientific problems such as the United Nations Sustainable Development Goals (SDGs) and as a gateway for public participation in research.
