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SUMMARY:Addressing agricultural data ethics\, agrisemantics and AI
DESCRIPTION:Meeting objectives:  \n\n\n\nIncrease awareness of the RDA IGAD Community of Practice\, recruit participants and get input on workplan for a new Working Group on the Ethics in Agricultural Data\, and decide if there is interest in any other new working groups\, such as how to support the use of Agrisemantics in AI systems. \n\n\n\nMeeting agenda:  \n\n\n\nIntroduction (5 min)  \n\n\n\nUpdates from the communities (5 minutes) \n\n\n\n\nIGAD annual meeting\n\n\n\nWorldFAIR project\n\n\n\n\nEthics in Agricultural Research Data working group update (20 minutes) Alan Moss (USDA ARS) \n\n\n\nAgrisemantics for Artificial Intelligence (60 minutes)  \n\n\n\n\nFilipi Miranda Soares (University of São Paulo) – “Applying Large Language Models in Ontology Design: a use case with the Agricultural Product Types Ontology”\n\n\n\nJennifer Woodward-Greene (USDA) – “NALT for the Machine Age: Cultivating a Semantic System for Data Interoperability”\n\n\n\nRaul Palma (PSNC) “Semantic interoperability in agriculture data spaces”\n\n\n\nDiscussion on new working group\n\n\n\n\nTarget Audience:  \n\n\n\nExperts and interested individuals on: agricultural data and semantics\, ethics\, artificial intelligence. \n\n\n\nBrief introduction describing the activities and scope of the group:  \n\n\n\nIGAD is a domain-oriented interest group working on all issues related to food and agricultural data. It represents stakeholders in managing data for food and agricultural research and innovation\, including producing\, aggregating and consuming data. \n\n\n\nBeyond this\, IGAD promotes good practices and RDA Recommendations in the research domain\, including data sharing policies\, data management plans\, and data interoperability. As a forum for sharing experiences and providing visibility to research and work in food and agricultural data\, IGAD has become a space for networking and blending ideas related to data management and interoperability. It also provides fertile ground to reach out and promote projects among other international organizations and institutions working in food and agricultural research and innovation.
URL:https://worldfair-project.eu/event/addressing-agricultural-data-ethics-agrisemantics-and-ai/
CATEGORIES:Other events
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