42 citations · 79 across the 5 of their papers we have counts for
5 papers
Geography According to ChatGPT -- How Generative AI Represents and Reasons about Geography
Krzysztof Janowicz, Gengchen Mai, Rui Zhu +4
Understanding how AI will represent and reason about geography should be a key concern for all of us, as the broader public increasingly interacts with spaces and places through th…
Whose Truth? Pluralistic Geo-Alignment for (Agentic) AI
Krzysztof Janowicz, Zilong Liu, Gengchen Mai +5
AI (super) alignment describes the challenge of ensuring (future) AI systems behave in accordance with societal norms and goals. While a quickly evolving literature is addressing b…
Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations
Yuhan Ji, Song Gao, Ying Nie +2
Applying AI foundation models directly to geospatial datasets remains challenging due to their limited ability to represent and reason with geographical entities, specifically vect…
GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS
Zhenlong Li, Huan Ning, Song Gao +13
The advent of generative AI exemplified by large language models (LLMs) opens new ways to represent and compute geographic information and transcends the process of geographic know…
MobilityDL: A Review of Deep Learning From Trajectory Data
Anita Graser, Anahid Jalali, Jasmin Lampert +2
Trajectory data combines the complexities of time series, spatial data, and (sometimes irrational) movement behavior. As data availability and computing power have increased, so ha…