Project Overview

Host’s Blind Spot explores how AI systems intervene in personal images and archives, subtly reshaping the narratives we rely on to understand ourselves. The work combines manipulated photographs, live generative code, video, and resin-based artefacts to trace the drift of meaning that occurs when human memory meets algorithmic interpretation. Developed as part of my BA (Hons) Photography, the project examines the relationship between the host (human observer) and the parasitic logics of machine learning — a dynamic in which images, data and recollection are continually fed, altered and redefined.

Selected Works

Project Media

The single-channel video What the Host Forgets, which forms the core moving-image component of the project.

Method & Materials

The project draws on a hybrid process involving Python-based generative systems, archival photographs, AI-driven transformations, and physical resin layers that embody the erosion and reformation of memory. Each element functions as a site of interference — a point where digital and material processes reconfigure what an image can reveal or obscure.

Full Project → hostsblindspot.com

Host’s Blind Spot is part of a wider investigation into the shifting boundaries between humans and intelligent systems. It reflects ongoing questions about agency, authorship and the fragile status of memory in a technologically mediated world.