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Agricultural Big Data Analytics and the Ethics of Power

Mark Ryan

Journal of Agricultural and Environmental Ethics 33 (1):49-69 (2020)

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(1 other version)Biomimicry and AI-Enabled Automation in Agriculture. Conceptual Engineering for Responsible Innovation.Marco Innocenti - 2025 - Journal of Agricultural and Environmental Ethics 38 (2):1-17.details This paper aims to engineer the concept of biomimetic design for its application in agricultural technology as an innovation strategy to sustain non-human species’ adaptation to today’s rapid environmental changes. By questioning the alleged intrinsic morality of biomimicry, a formulation of it is sought that goes beyond the sharp distinction between nature as inspiration and the human field of application of biomimetic technologies. After reviewing the main literature on Responsible Innovation, we support Vincent Blok’s “eco-centric” perspective on biomimicry, which considers (...) Download Export citation Bookmark
Sovereignty by design and human values in agriculture data spaces.Rosa María Gil, Mark Ryan & Roberto García - forthcoming - Agriculture and Human Values:1-26.details Because of the importance of data-sharing for the economy, improved products and services, and to benefit society, the European Union has proposed developing a Common European Data Space (CEDS). The goal is to create a single European data market through 14 domain-specific data spaces (e.g., agriculture, or the Common European Agricultural Data Space (CEADS)). One of the central tenets of the CEDS is to ensure that those who share data can maintain control over who has access to, use of, and (...) Download Export citation Bookmark
AI through the looking glass: an empirical study of structural social and ethical challenges in AI.Mark Ryan, Nina De Roo, Hao Wang, Vincent Blok & Can Atik - 2024 - AI and Society 1 (1):1-17.details This paper examines how professionals (N = 32) working on artificial intelligence (AI) view structural AI ethics challenges like injustices and inequalities beyond individual agents' direct intention and control. This paper answers the research question: What are professionals’ perceptions of the structural challenges of AI (in the agri-food sector)? This empirical paper shows that it is essential to broaden the scope of ethics of AI beyond micro- and meso-levels. While ethics guidelines and AI ethics often focus on the responsibility of (...) Download Export citation Bookmark
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.details 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 (...) Download Export citation Bookmark 7 citations
In AI We Trust: Ethics, Artificial Intelligence, and Reliability.Mark Ryan - 2020 - Science and Engineering Ethics 26 (5):2749-2767.details One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI (HLEG) have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI (HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust is one of the most important and defining activities in (...) Download Export citation Bookmark 53 citations

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