AI Hauntology unveils algorithmic specters resurrecting historical and ongoing violences: staging necropolitical encounters with death through datafication; materializing radiation ghosts via generative distortions; dismantling surveillant infrastructures through insurgent biological relays; and embedding financialized alienation within interface illusions. These hauntings rupture technocapitalist progress, forcing confrontation with necrotic residues within algorithmic modernity.
AI Hauntology / A!nipay - Photo: Zihan Kan, Shulin Li
Exhibit
AI Hauntology
Shu Cao (CN), Pengfan Chen (CN), Zhexin Jin (CN), Zihan Kan (CN), Shulin Li (CN), Dian Song (CN), Xinyue Wang (CN), Ziyang Wu (CN)
Pigeon Legend - Photo: Ziyang Wu
Trained Nihil - Photo: Pengfan Chen; Zhexin Jin; Dian Song; Xinyue Wang
Diffusion - Photo: Cao Shu
Credits
The project AI Hauntology consists of four pieces: 1. Trained Nihil by Pengfan Chen, Zhexin Jin, Dian Song, Xinyue Wang 2. A!nipay by Zihan Kan, Shulin Li 3. Diffusion by Cao Shu 4. Pigeon Legend by Ziyang Wu
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