Making AI Art Responsibly: A Field Guide

Machine learning tools provide the potential for unprecedented creative expression, but also the potential to cause unintended harms.

“Making AI Art Responsibly: A Field Guide” is an illustrated zine composed of questions and case studies to help AI artists use AI techniques responsibly and with care.

We suggest that artists using AI should consider themselves part of the broader responsible AI community. As a result, it is important to consider factors such as consent of people represented in your datasets, labor involved in the model development and pre-existing codebase/tools, and AI infrastructure and environmental costs of training machine learning models. We hope that artists will attend to the potentially unintended harmful consequences of work as understood in domains like information security, misinformation, the environment, copyright, and biased and appropriative synthetic media.

With this guide, we believe that by reflecting on what is “responsible” for their own creative works, artists can push forward best practices employed by all AI practitioners.

Doing so can ensure that they harness the expressive potential of AI, responsibly.

The Responsible AI Art Field Guide has been featured by Gray Area, DISEÑA, and Mozilla Festival.

Machine learning tools provide the potential for unprecedented creative expression, but also the potential to cause unintended harms.

“Making AI Art Responsibly: A Field Guide” is an illustrated zine composed of questions and case studies to help AI artists use AI techniques responsibly and with care.

We suggest that artists using AI should consider themselves part of the broader responsible AI community. As a result, it is important to consider factors such as consent of people represented in your datasets, labor involved …