Hum-AI-n
- Project Type: AI-generated Images
- Completion Year: 2025
Hum-AI-n confronts the threshold where artificial intelligence reconstructs reality and identity, questioning how humans perceive the world through curated memory data while exposing the collective blind spots embedded in cognitive models. The exhibition uses the failure of dual archives as a metaphor: 831 AI-generated 2x2-inch passport photos, depicting anonymous human backs, face off against a U.S. occupational wage report engulfed in black. Together, they form an equation of technological rationality and human experience—visible yet unreadable, real yet unsolvable.
The work unfolds through dual structures: AI-generated passport-style back figures, their anonymized outlines reduced to uniform shapes, and the National Occupational Employment and Wage Estimates document printed on black paper—its text devoured by the dark. Bureaucratic job titles serve as cold, systematic prompts, transforming human roles into depersonalized symbols. Faceless backs erase individual differences, while hidden wage data met aphorizes how economic structures invisibly construct social hierarchies. Their juxtaposition reveals a complicity between human and machine logic: both claim objectivity yet remain trapped by their creators’ cognitive biases.
A self-perpetuating cycle emerges: AI learns from outdated human data to produce models that reinforce existing biases; humans then rely on these models to shape policies and allocate resources, deepening systemic inequality. The standardized visa photo requirement epitomizes this cycle—we reshape our bodies to fit algorithmic frameworks, tacitly accepting the violence of reducing people to "compliant data points." As AI dissolves individual complexity in the name of efficiency, informal laborers, cross-disciplinary creators, and those with fluid identities vanish into the shadows of algorithms.
The hyphen in Hum-AI-n pierces like a technological scar through the skeleton of identity. When viewers confront the mechanically replicated backs and the unreadable data on black paper, they gaze at data-drained reflections of themselves and a looming parable: in the rapid evolution of AI, are we erasing our own humanity under the guise of "progress"?
The unseen connections that bind all things together
AI- generated Images
PHOTO BOOK
Song Lu is a multimedia artist born in Guizhou, China. She completed her education at the School of Visual Arts. Song's creative practice primarily focuses on photography, video, 3D animation, and Artificial Intelligence.
Through her works, she explores and expresses a range of emotions and feelings, often incorporating elements of humor, surrealism, and childlike wonder in a playful and whimsical style.
Song 's art is marked by a deliberate avoidance of sadness, as she seeks to deflect any negativity or darkness in the creative process. Instead, her works are infused with a sense of joy, lightheartedness, and a unique perspective that challenges viewers to engage with her art in new and unexpected ways.
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