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  1. Big Data in food and agriculture.Irena Knezevic & Kelly Bronson - 2016 - Big Data and Society 3 (1).
    Farming is undergoing a digital revolution. Our existing review of current Big Data applications in the agri-food sector has revealed several collection and analytics tools that may have implications for relationships of power between players in the food system. For example, Who retains ownership of the data generated by applications like Monsanto Corproation's Weed I.D. “app”? Are there privacy implications with the data gathered by John Deere's precision agricultural equipment? Systematically tracing the digital revolution in agriculture, and charting the affordances (...)
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  • Establishing the rules for building trustworthy AI.Luciano Floridi - 2019 - Nature Machine Intelligence 1 (6):261-262.
    AI is revolutionizing everyone’s life, and it is crucial that it does so in the right way. AI’s profound and far-reaching potential for transformation concerns the engineering of systems that have some degree of autonomous agency. This is epochal and requires establishing a new, ethical balance between human and artificial autonomy.
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  • Cows desiring to be milked? Milking robots and the co-evolution of ethics and technology on Dutch dairy farms.Clemens Driessen & Leonie F. M. Heutinck - 2015 - Agriculture and Human Values 32 (1):3-20.
    Ethical concerns regarding agricultural practices can be found to co-evolve with technological developments. This paper aims to create an understanding of ethics that is helpful in debating technological innovation by studying such a co-evolution process in detail: the development and adoption of the milking robot. Over the last decade an increasing number of milking robots, or automatic milking systems (AMS), has been adopted, especially in the Netherlands and a few other Western European countries. The appraisal of this new technology in (...)
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  • The Dawning of the Ethics of Environmental Robots.Justin Donhauser & Aimee Wynsberghe - 2018 - Science and Engineering Ethics 24 (6):1777-1800.
    Environmental scientists and engineers have been exploring research and monitoring applications of robotics, as well as exploring ways of integrating robotics into ecosystems to aid in responses to accelerating environmental, climatic, and biodiversity changes. These emerging applications of robots and other autonomous technologies present novel ethical and practical challenges. Yet, the critical applications of robots for environmental research, engineering, protection and remediation have received next to no attention in the ethics of robotics literature to date. This paper seeks to fill (...)
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  • Steps Toward an Ethics of Environmental Robotics.Justin Donhauser, Aimee van Wynsberghe & Alexander Bearden - 2020 - Philosophy and Technology 34 (3):507-524.
    New robotics technologies are being used for environmental research, and engineers and ecologists are exploring ways of integrating an array of different sorts of robots into ecosystems as a means of responding to the unprecedented environmental changes that mark the onset of the Anthropocene. These efforts introduce new roles that robots may play in our environments, potentially crucial new forms of human dependence on such robots, and new ways that robots can enhance life quality and environmental health. These efforts at (...)
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  • Social change and the adoption and adaptation of knowledge claims: Whose truth do you trust in regard to sustainable agriculture? [REVIEW]Michael S. Carolan - 2006 - Agriculture and Human Values 23 (3):325-339.
    This paper examines sustainable agriculture’s steady rise as a legitimate farm management system. In doing this, it offers an account of social change that centers on trust and its intersection with networks of knowledge. The argument to follow is informed by the works of Foucault and Latour but moves beyond this literature in important ways. Guided by and building upon earlier conceptual framework first forwarded by Carolan and Bell (2003, Environmental Values 12: 225–245), sustainable agriculture is examined through the lens (...)
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  • Trust in farm data sharing: reflections on the EU code of conduct for agricultural data sharing.Simone van der Burg, Leanne Wiseman & Jovana Krkeljas - 2020 - Ethics and Information Technology 23 (3):185-198.
    Digital farming technologies promise to help farmers make well-informed decisions that improve the quality and quantity of their production, with less labour and less impact on the environment. This future, however, can only become a reality if farmers are willing to share their data with agribusinesses that develop digital technologies. To foster trust in data sharing, in Europe the EU Code of Conduct for agricultural data sharing by contractual agreement was launched in 2018 which encourages transparency about data use. This (...)
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  • The Dawning of the Ethics of Environmental Robots.Justin Donhauser & Aimee van Wynsberghe - Online First - 2 - Science and Engineering Ethics 24 (6):1777-1800.
    Environmental scientists and engineers have been exploring research and monitoring applications of robotics, as well as exploring ways of integrating robotics into ecosystems to aid in responses to accelerating environmental, climatic, and biodiversity changes. These emerging applications of robots and other autonomous technologies present novel ethical and practical challenges. Yet, the critical applications of robots for environmental research, engineering, protection and remediation have received next to no attention in the ethics of robotics literature to date. This paper seeks to fill (...)
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  • Agricultural Big Data Analytics and the Ethics of Power.Mark Ryan - 2020 - Journal of Agricultural and Environmental Ethics 33 (1):49-69.
    Agricultural Big Data analytics (ABDA) is being proposed to ensure better farming practices, decision-making, and a sustainable future for humankind. However, the use and adoption of these technologies may bring about potentially undesirable consequences, such as exercises of power. This paper will analyse Brey’s five distinctions of power relationships (manipulative, seductive, leadership, coercive, and forceful power) and apply them to the use agricultural Big Data. It will be shown that ABDA can be used as a form of manipulative power to (...)
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  • Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications.Mark Ryan & Bernd Carsten Stahl - 2021 - Journal of Information, Communication and Ethics in Society 19 (1):61-86.
    Purpose The purpose of this paper is clearly illustrate this convergence and the prescriptive recommendations that such documents entail. There is a significant amount of research into the ethical consequences of artificial intelligence. This is reflected by many outputs across academia, policy and the media. Many of these outputs aim to provide guidance to particular stakeholder groups. It has recently been shown that there is a large degree of convergence in terms of the principles upon which these guidance documents are (...)
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