AI-rays: Exploring Bias in the Gaze of AI Through a Multimodal Interactive Installation
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Abstract (arXiv)
Data surveillance has become more covert and pervasive with AI algorithms, which can result in biased social classifications. Appearance offers intuitive identity signals, but what does it mean to let AI observe and speculate on them? We introduce AI-rays, an interactive installation where AI generates speculative identities from participants' appearance which are expressed through synthesized personal items placed in participants' bags. It uses speculative X-ray visions to contrast reality with AI-generated assumptions, metaphorically highlighting AI's scrutiny and biases. AI-rays promotes discussions on modern surveillance and the future of human-machine reality through a playful, immersive experience exploring AI biases.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 21 references that are in the map. First posted on arXiv 3 Oct 2024.
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References · 4
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
- 2023Segment Anythingcited by 8,234
- 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,332
- 2022Diffusion Models in Vision: A Surveycited by 1,015
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