This paper presents Climinator, a novel AI-based tool designed to automate the fact-checking of climate change claims. Utilizing an array of Large Language Models (LLMs) informed by authoritative sources like the IPCC reports and peer-reviewed scientific literature, Climinator employs an innovative Mediator-Advocate framework. This design allows Climinator to effectively synthesize varying scientific perspectives, leading to robust, evidence-based evaluations. Our model demonstrates remarkable accuracy when testing claims collected from Climate Feedback and Skeptical Science. Notably, when integrating an advocate with a climate science denial perspective in our framework, Climinator's iterative debate process reliably converges towards scientific consensus, underscoring its adeptness at reconciling diverse viewpoints into science-based, factual conclusions. While our research is subject to certain limitations and necessitates careful interpretation, our approach holds significant potential. We hope to stimulate further research and encourage exploring its applicability in other contexts, including political fact-checking and legal domains.

翻译：本文提出Climinator，一种基于人工智能的新型工具，旨在自动化核查气候变化主张的真实性。该工具利用由IPCC报告及同行评审科学文献等权威来源支撑的大语言模型（LLMs）集合，采用创新的"调解者-主张者"框架。这一设计使Climinator能有效综合不同科学观点，形成稳健的、基于证据的评估结果。在对从Climate Feedback和Skeptical Science收集的主张进行测试时，我们的模型展现出卓越的准确性。值得注意的是，当我们在此框架中整合持有气候变化科学否定论的主张者时，Climinator的迭代辩论过程能可靠地趋向科学共识，这凸显了其在调和多元视角并形成基于科学的事实结论方面的优势。尽管本研究存在一定局限性且需谨慎解读，但我们的方法仍具有显著潜力。我们期待能激发更多相关研究，并鼓励探索该方法在政治事实核查及法律等其他领域的应用可行性。