Generative AI techniques like those that synthesize images from text (text-to-image models) offer new possibilities for creatively imagining new ideas. We investigate the capabilities of these models to help communities engage in conversations about their collective future. In particular, we design and deploy a facilitated experience where participants collaboratively speculate on utopias they want to see, and then produce AI-generated imagery from those speculations. In a series of in-depth user interviews, we invite participants to reflect on the generated images and refine their visions for the future. We synthesize findings with a bespoke community zine on the experience. We observe that participants often generated ideas for implementing their vision and drew new lateral considerations as a result of viewing the generated images. Critically, we find that the unexpected difference between the participant's imagined output and the generated image is what facilitated new insight for the participant. We hope our experimental model for co-creation, computational creativity, and community reflection inspires the use of generative models to help communities and organizations envision better futures.
翻译:我们调查这些模型的能力,以帮助社区就集体未来展开对话。特别是,我们设计并运用一种便利的经验,让参与者合作猜测他们希望看到的乌托邦,然后从这些猜测中产生人工制作的图像。在一系列深入的用户访谈中,我们邀请参与者思考产生的图像,并改进他们对未来的愿景。我们用社区对经验的直言语来综合研究结果。我们观察到,参与者常常产生实施其愿景的想法,并提出了新的横向考虑,作为观看所产生图像的结果。关键是,我们发现参与者想象的产出和产生的图像之间意想不到的差别是帮助与会者了解新情况的因素。我们希望我们的共同创造、计算创造力和社区思考实验模型能够激励人们使用基因化模型来帮助社区和组织展望更好的未来。