Unbox Responsible GeoAI: Navigating Climate Extreme and Disaster Mapping
arXiv 2605.00315•64acc5c7b5724baf4c62ecc40409273659277b2e9ebafb515aefd685f1d488ce
AI-in-educationChatGPTDeGenTWebGeoAIGroup-Cognition-LearningLLM-detectionMaxSATTikTok-digital-ruralityacademic-integrityaggregationclimate-disaster-mappingethicsexplainabilitygovernancemodality-dominancemoral-reasoningmultimodal-learningneuro-symbolicprogramming-educationresponsible-AIsocial-media-analysissustainabilityteacher-adoptionteacher-confidenceweb-content-provenance
Paper metadata
- arXiv ID
- 2605.00315
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 64acc5c7b5724baf4c62ecc40409273659277b2e9ebafb515aefd685f1d488ce
- Enrichment time
- 2026-05-04T07:23:54Z
- AI-assisted enrichment
- Yes
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