用真实海洋数据驱动对话，让AI回答海洋问题有据可查。
OceanAI: A Conversational Platform for Accurate, Transparent, Near-Real-Time Oceanographic Insights
- 结合大模型语言能力与实时权威数据接口，每问必有源。
- 盲测中唯一给出美国国家海洋局原始数据的可信答案。
- 适合海洋监测、灾害预警等需要高可信度决策的场景。
人工智能正重塑科学，但通用对话AI常产生未经验证的“幻觉”，损害科学严谨性。我们提出OceanAI，一个融合开源大语言模型自然语言能力与美国国家海洋和大气管理局（NOAA）实时参数化数据流访问的对话平台。用户提问如“2024年波士顿港最高水位是多少？”将触发实时API调用，自动识别、解析并整合相关数据集，生成可复现的自然语言回应与数据可视化。在与三种主流AI聊天产品进行盲测时，仅OceanAI输出了源自NOAA的数据值，并附原始数据引用；其余产品或拒绝回答，或提供无依据结果。该平台具备可扩展性，已连接多个NOAA数据产品与变量，支持海洋灾害预报、生态系统评估及水质监测等应用。通过输出可溯源、可观测的结论，OceanAI提升了透明度、可复现性与可信度，为海洋领域人工智能决策支持提供了可扩展框架。公开演示地址：https://oceanai.ai4ocean.xyz。
原文摘要 · Abstract (English)
Artificial intelligence is transforming the sciences, yet general conversational AI systems often generate unverified "hallucinations" undermining scientific rigor. We present OceanAI, a conversational platform that integrates the natural-language fluency of open-source large language models (LLMs) with real-time, parameterized access to authoritative oceanographic data streams hosted by the National Oceanic and Atmospheric Administration (NOAA). Each query such as "What was Boston Harbor's highest water level in 2024?" triggers real-time API calls that identify, parse, and synthesize relevant datasets into reproducible natural-language responses and data visualizations. In a blind comparison with three widely used AI chat-interface products, only OceanAI produced NOAA-sourced values with original data references; others either declined to answer or provided unsupported results. Designed for extensibility, OceanAI connects to multiple NOAA data products and variables, supporting applications in marine hazard forecasting, ecosystem assessment, and water-quality monitoring. By grounding outputs and verifiable observations, OceanAI advances transparency, reproducibility, and trust, offering a scalable framework for AI-enabled decision support within the oceans. A public demonstration is available at https://oceanai.ai4ocean.xyz.
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