  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.
