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  1. The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature.Mark Ryan - 2023 - AI and Society 38 (6):2473-2485.
    This paper will examine the social and ethical impacts of using artificial intelligence (AI) in the agricultural sector. It will identify what are some of the most prevalent challenges and impacts identified in the literature, how this correlates with those discussed in the domain of AI ethics, and are being implemented into AI ethics guidelines. This will be achieved by examining published articles and conference proceedings that focus on societal or ethical impacts of AI in the agri-food sector, through a (...)
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  • Farming futures: Perspectives of Irish agricultural stakeholders on data sharing and data governance.Claire Brown, Áine Regan & Simone van der Burg - 2022 - Agriculture and Human Values 40 (2):565-580.
    The current research examines the emergent literature of Critical Data Studies, and particularly aligns with Michael and Lupton’s (2016) manifesto calling for researchers to study the Public Understanding of Big Data. The aim of this paper is to explore Irish stakeholders’ narratives on data sharing in agriculture, and the ways in which their attitudes towards different data sharing governance models reflect their understandings of data, the impact that data hold in their lives and in the farming sector, as well as (...)
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