Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation
Researchers have developed a new framework that uses Large Language Models (LLMs) to retrieve remote sensing data via natural language queries. This system employs three agents: a Guardrail agent for safety, a General-QA agent for understanding user intent, and a Recommender-Analyst agent for generating API calls. Preliminary testing in adversarial scenarios indicated that while prompt-level safety measures enhance robustness, persistent failures in API manipulation highlight the need for more advanced, system-level defenses. AI
IMPACT This framework could streamline access to critical geospatial data for environmental monitoring and disaster response.