5 papers
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…
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…
The KnowWhereGraph: A Large-Scale Geo-Knowledge Graph for Interdisciplinary Knowledge Discovery and Geo-Enrichment
Rui Zhu, Cogan Shimizu, Shirly Stephen +25
Global challenges such as food supply chain disruptions, public health crises, and natural hazard responses require access to and integration of diverse datasets, many of which are…
The KnowWhereGraph Ontology
Cogan Shimizu, Shirly Stephe, Adrita Barua +21
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate…