MUSE Silver

2026

ALGORITHMIC CAGE

Entrant

Peng Yifan

Category

Student Submission - Student Conceptual Design

Client's Name

Country / Region

China

About The Entry

This project exposes the inherent stereotypes hidden in AI algorithms. Presented as a three-volume book design and installation art, it adopts character sample research, glitch and code visual language to intuitively show algorithmic prejudice in gender, appearance, race and region. It points out that algorithmic bias stems from inherent social prejudices of humans. It reveals implicit digital discrimination and advocates technological equality and humanistic inclusiveness.

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