This first iteration of Data Patterns inserts itself in a broader research question about the impact of human data on the built environment and the objects we consume, especially within a fashion context. While interpreting information within designed products, the aim of Data Patterns is also to question preconceived ideas on how the relationship between humans and machines should unfold. We have designed machines, namely artificial intelligence in its many forms, to be our workers and only that. Therefore, humans understandably struggle to find ways in which to collaborate with machines which give both human and non-human agency in the design and creation process.  
By using the commercial GAN solution offered by Midjourney, I was able to extract AI generated imagined clothes and interpret them into real objects through different conceptual and pattern making methods. While Midjourney was able to generate many ideas, artisanship and manual skills were necessary to translate those immaterial physics into real life objects that abide to material constraints, which the discriminated pixels generated by Midjourney cannot understand.  
In the end, a real life and material garment was created through the collaboration of machine generated designs and human interpretation and manual skills.