Uncanny Algorithms explores the intersection of artificial intelligence, human identity, and the eerie distortions that emerge from their entanglement. This research-driven project interrogates the failures and malfunctions of generative AI, leveraging its dysfunctions to create surreal, fragmented representations of the human form. These digital sculptures, unsettling yet familiar, occupy natural landscapes, unsettling the boundary between organic and artificial, body and environment.

Rooted in critical analysis, Uncanny Algorithms consists of 20 pages of self-written research and theory, dissecting AI’s role in reshaping human perception, realism, and corporeality. This is followed by 50 pages of visual compositions, where AI-generated figures are embedded into landscapes, producing a tension between the hyperreal and the grotesque.

The project echoes the disorienting aesthetics of Francis Bacon, exploring digital flesh as a site of transformation, error, and existential ambiguity. By embracing AI’s limitations, Uncanny Algorithms reflects on the contemporary condition—one in which human identity is increasingly filtered through technological mediation, and the uncanny becomes an unavoidable presence in our digital and physical realities. It draws parallels between AI’s processes and the human unconscious, where pattern recognition and abstract associations produce dreamlike, often illogical outputs. Much like surrealist art, the unexpected and bizarre results become a powerful resource for artistic exploration, questioning the boundaries between the digital and the organic, the real and the imagined.