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20232026
most citedMeasuring Geographic Diversity of Foundation Models with a Natural Language--based Geo-guessing Experiment on GPT-4

2 citations · 3 across the 8 of their papers we have counts for

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cs.CY2026

Assessing the Geographic Diversity of AI's Platial Representations in Image Generation

Zilong Liu, Krzysztof Janowicz, Mina Karimi

(Gen)AI diversity is not merely an ethical issue. From the perspective of geographic information science (GIScience), it could be interpreted as a function of uncertainty and as a…

cs.CY2026

Geographic Bias and Diversity in AI Evaluation

Zilong Liu, Krzysztof Janowicz, Gengchen Mai +2

Among the many challenges hindering the responsible development and deployment of AI, arguably none has faced more intense scrutiny than bias in its various forms. This underscores…

cs.CY2024★ 1 cited

Uncovering Regional Defaults from Photorealistic Forests in Text-to-Image Generation with DALL-E 2

Zilong Liu, Krzysztof Janowicz, Kitty Currier +1

Regional defaults describe the emerging phenomenon that text-to-image (T2I) foundation models used in generative AI are prone to over-proportionally depicting certain geographic re…

cs.CY2024★ 2 cited

Measuring Geographic Diversity of Foundation Models with a Natural Language--based Geo-guessing Experiment on GPT-4

Zilong Liu, Krzysztof Janowicz, Kitty Currier +1

Generative AI based on foundation models provides a first glimpse into the world represented by machines trained on vast amounts of multimodal data ingested by these models during…

cs.CY2023

Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond

Zilong Liu, Krzysztof Janowicz, Kitty Currier +5

While the paths humans take play out in social as well as physical space, measures to describe and compare their trajectories are carried out in abstract, typically Euclidean, spac…