The exponential growth of machine learning (ML) and artificial intelligence (AI) presents significant benefits for wildlife conservation. However, researchers are still struggling to navigate the vast and cross-disciplinary body of literature. We introduce WildInsight, an LLM-powered chatbot that uses retrieval-augmented generation (RAG) to surface relevant ML applications in wildlife management. Drawing on thousands of peer-reviewed studies, WildInsight returns method overviews, species details, and geographic context answers grounded in cited sources. By bridging computational techniques and ecological practice, WildInsight accelerates evidence-based conservation decisions. Live chat is available at: http://wildinsight.lucyapps.net:1337/ .

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WildInsight: a Chatbot for Wildlife Conservation Research

  • Anna Sokol,
  • Xiangliang Zhang,
  • Nitesh V.Chawla

摘要

The exponential growth of machine learning (ML) and artificial intelligence (AI) presents significant benefits for wildlife conservation. However, researchers are still struggling to navigate the vast and cross-disciplinary body of literature. We introduce WildInsight, an LLM-powered chatbot that uses retrieval-augmented generation (RAG) to surface relevant ML applications in wildlife management. Drawing on thousands of peer-reviewed studies, WildInsight returns method overviews, species details, and geographic context answers grounded in cited sources. By bridging computational techniques and ecological practice, WildInsight accelerates evidence-based conservation decisions. Live chat is available at: http://wildinsight.lucyapps.net:1337/ .