This article sketches some of the relationships between the technosciences (primarily biotechnology and biomedicine) and science fiction. Taken as a discursive practice, science fiction constructs futurological narratives of progress as well as conditions the very techniques and research that may have taken place. The tensions and inconsistencies within the biotech industry are considered as a zone where science fiction is put to work as negotiator and mode of legitimization.

Expressive AI is a new interdiscipline of AI-based cultural production, combining art practice and AI-research practice. This article explores expressive AI by comparing it with other AI discourses, describing how it borrows notions of interpretation and authorship from both art and AI research practice and providing preliminary desiderata for the practice.

Digital media gain their cultural authority in part because of the perception that they function on mathematical principles. The relationship between digital images and their encoded files, and in other cases, between digital images and the algorithms that generate them as display, lends itself to a conviction that the image and the file are mutually interchangeable. This relationship posits a connection of identicality between the file and the image according to which the mathematical basis and the image seem to share similar claims to truth.

Artists working with technology are frequently informed and inspired by exciting scientific innovations, and often turn to contemporary philosophical interpretations of these events, which positions them in between the “two cultures,” a position that creates the potential for a “Third Culture,” as predicted by C.P. Snow himself. This emerging culture is not composed of the scientific elite as some propose, but will emerge out of triangulation of the arts, sciences and humanities.

This article, shaped by the author's interest in convergences between art and science, presents scientists and philosophers of science who explore that convergence. However, since their expertise lies in science, they each speak from a principally scientific point of view. In fact, a common ground that emerges among them is an overt interest in point of view, which takes the form of examining the modeler's investment in and engagement with the model. Each speaker finds some potential there, rather than limitations.