The article "The Impact and Opportunities of Generative AI in Fact-Checking" by Robert Wolfe and Tanushree Mitra explores the potential and challenges of generative AI in fact-checking organizations. The authors conducted 30 interviews with 38 participants from 29 fact-checking organizations across six continents to understand how these organizations use generative AI and the opportunities and challenges they face. They found that the use of generative AI varies based on organizational infrastructure, with applications in quality assurance, trend analysis, and information literacy. The Technology-Organization-Environment (TOE) framework was used to describe participant concerns, ranging from technological limitations to organizational constraints and environmental factors. The authors propose a novel "Verification" dimension in the design space of generative models for information verification work and outline an agenda for fairness, accountability, and transparency research to support responsible use of generative AI in fact-checking. They emphasize the importance of human infrastructure and labor in producing verified information in collaboration with AI. The study contributes to both the scientific literature on fact-checking and the understanding of organizational adaptation to new technologies.The article "The Impact and Opportunities of Generative AI in Fact-Checking" by Robert Wolfe and Tanushree Mitra explores the potential and challenges of generative AI in fact-checking organizations. The authors conducted 30 interviews with 38 participants from 29 fact-checking organizations across six continents to understand how these organizations use generative AI and the opportunities and challenges they face. They found that the use of generative AI varies based on organizational infrastructure, with applications in quality assurance, trend analysis, and information literacy. The Technology-Organization-Environment (TOE) framework was used to describe participant concerns, ranging from technological limitations to organizational constraints and environmental factors. The authors propose a novel "Verification" dimension in the design space of generative models for information verification work and outline an agenda for fairness, accountability, and transparency research to support responsible use of generative AI in fact-checking. They emphasize the importance of human infrastructure and labor in producing verified information in collaboration with AI. The study contributes to both the scientific literature on fact-checking and the understanding of organizational adaptation to new technologies.