Archive 22
is an artistic exploration of underrepresented species listed as endangered under the International Union for Conservation of Nature (IUCN 3.1) Red List of Threatened Species in need of conservation attention. The featured species lack a strong digital presence and footprint, which is why, through a hybrid practice of photography and AI-generated imagery, we construct a fictional archive that bridges the gap between presence and absence. We believe that in our digital world, innovative imagery of underrepresented species will have a positive impact in terms of raising conservation awareness and fostering emotional connections with nature. Our unique and blended practice of photography and AI-generated imagery aims to confront the realities of our changing planet, reimagining species that are often left out of the visual conservation narrative.
Our visual language is inspired by scientific archival methods and our choice to use AI came after thoughtful conversations about the challenges in photographing certain species in need of conservation attention. These challenges include practical issues such as accessibility, limited / lack of funding for fieldwork, and ethical restrictions around disturbing endangered species. The images are created through two distinct methods: camera-based photography and synthetic AI-generated imagery. Each one is printed and re-photographed inside of a ziplock bag similar to how scientists we’ve worked with collect samples in the field. We use labels to identify the kind of species, the location we photographed the species, and to clearly distinguish between photographs versus synthetic images.