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      Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities

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          Big Data in Smart Farming – A review

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            The Number, Size, and Distribution of Farms, Smallholder Farms, and Family Farms Worldwide

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              Machine behaviour

              Machines powered by artificial intelligence increasingly mediate our social, cultural, economic and political interactions. Understanding the behaviour of artificial intelligence systems is essential to our ability to control their actions, reap their benefits and minimize their harms. Here we argue that this necessitates a broad scientific research agenda to study machine behaviour that incorporates and expands upon the discipline of computer science and includes insights from across the sciences. We first outline a set of questions that are fundamental to this emerging field and then explore the technical, legal and institutional constraints on the study of machine behaviour.
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                Author and article information

                Contributors
                Journal
                Nature Machine Intelligence
                Nat Mach Intell
                Springer Science and Business Media LLC
                2522-5839
                February 2022
                February 23 2022
                February 2022
                : 4
                : 2
                : 104-109
                Article
                10.1038/s42256-022-00440-4
                4e8ab11c-104a-470c-b929-2989da883639
                © 2022

                https://www.springer.com/tdm

                https://www.springer.com/tdm

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