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Multimodal Large Language Models Predict Urban Safety Perception but Encode Non-Neutral Demographic Priors

Beneduce, Ciro et al.
arXiv (All) · Papers
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artificial-intelligencecomputers-and-society
Understanding how people perceive urban environments is essential for inclusive planning, yet conventional surveys are costly and difficult to scale. We investigate whether Multimodal Large Language Models (MLLMs) can assess perceived urban safety from street-view imagery while accounting for the ob
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