# The power of pictures: using ML assisted image generation to engage the crowd in complex socioscientific problems

arXiv: https://arxiv.org/abs/2010.12324 · HTML: https://mlsanity.com/paper/2010.12324/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Oct 2020.

## Built on by (most cited first, 1 of 1)

- [Exploring Latent Dimensions of Crowd-sourced Creativity](https://mlsanity.com/paper/2112.06978/) (2021)

## Abstract (arXiv)

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.