I have been working with the internal body as it is recognized and unrecognized in contemporary computation. I am particularly interested in the social and philosophical implications of machine learning when applied to the body as it is fundamentally limited to processing two-dimensional representations, and usually the visible edge. In its contemporary application, the reality of the unconscious body is eclipsed by the hyperreal digital body, thus shifting systems of identification. The inner body as it is recognized and unrecognized in computational representations poses questions beyond the role of phenomenological disembodiment and into questions of self-identification and actualization when mechanical means of representation dominate the visualization of the internal condition. I am particularly interested in contemporary applications of machine learning in medical sciences that render bodies beyond and below the visible limit. 

 

By utilizing and critiquing the limits of contemporary machine learning and computation, I am interested in creating a fictional dialogue between the internal, unconscious other and the machine. The fictional space I am currently working in is built on mutual misinterpretation between all of the acting agents involved. The primary acting agent connected to the body requires the machine to peer below their skin and communicate with the internal other. However, the primary acting agent doesn’t understand the capabilities/functions of the machine, nor do they understand how the machine “thinks” as it is built on only abstractions of reality. The machine can “see” below visual limitation but is representing and communicating with the internal other that is fundamentally removed from its conception of biological consciousness. By working with installation and performance, I am playing with these very real, but abstract systems of knowledge as a way to further question their relationship to each other.