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M. Imani

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Open access Aug 2026

From Principles to Practice: Engineering Responsible AI for Geospatial Intelligence

AI-enabled geospatial applications increasingly inform high-stakes decisions in crop type classification, flood risk assessment, and land use monitoring; yet current practice prioritises predictive accuracy whilst leaving responsible AI (R-AI) largely unaddressed. This work aims to operationalise R-AI practice for geos...

M. Hassan, Bilal Sardar, Shareeful Islam et al. · 0 citations
Open access Jul 2026

Constrained LLM Reporting for Geospatial Climate Risk: A One-Shot In-Context Framework for Critical Infrastructure

Climate risk assessments for critical infrastructure are essential to identifying and predicting vulnerabilities early in the asset life cycle, enabling proactive mitigation through the implementation of technical and nature-based solutions (NbS) before impacts occur. However, such assessments often rely on dense quant...

Farid Arabameri, Jörn Plönnigs, M. Imani et al. · 0 citations

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