Artificial Intelligence and algorithms are mathematical, rational and neutral. They are unbiased. Despite that, their outputs reflect and perpetuate the biases contained within the information we make them process, consciously and unconsciously. 

This project was created in collaboration with Rafael Roncato and Sophie Allerding. We created a fluid portrait by feeding images of ourselves to a machine-learning algorithm. By using our faces to give the AI a body we want to explore the relationship of interdependency between us and this machine. We can feed it but we can’t generate the output. The AI can create the image but it can’t feed itself. 

We are two men and one woman. When we fed the algorithm with these images, it replicated and magnified this bias, occluding the woman's features. 

This project poses questions like: “Who owns these images? How does the use of Artificial Intelligence influence authorship? How do algorithms perpetuate biases? Can we account for and protect ourselves from them?”