Responsible AI in farming: a multi-criteria framework for sustainable technology design
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- dc.contributor.author Mallinger, Kevin
- dc.contributor.author Baeza Yates, Ricardo
- dc.date.accessioned 2025-10-07T06:11:04Z
- dc.date.available 2025-10-07T06:11:04Z
- dc.date.issued 2024
- dc.description.abstract The continuous fusion of artificial intelligence (AI) and autonomous farming machinery (e.g., drones and field robots) provides a significant shift in the daily work experience of farmers. Faced with new technological developments, many risks and opportunities arise that need to be carefully translated into technological requirements to enable a sustainable production environment. Analyzing the complex relationship between social, ecological, and technological dependencies is a crucial step to understanding the different perspectives and systemic effects of technological functionalities. By providing a comprehensive overview of the state of the art, this article qualitatively analyzes the potential impact of AI on the autonomy of farmers and the technological developments to mitigate the risks. Fair data management practices, transparent AI approaches, and designs for an intuitive user experience are presented as key mechanisms for supporting responsible model development. Based on the defined social, technological, and ecological challenges in AI development, the knowledge to provide a high-level framework for the responsible creation of AI technologies is further systematized. By focusing on the multifaceted relationships and their effects on the autonomy of farmers, this article exemplifies the complex design decisions that must be faced in creating trustworthy and responsible AI tools.en
- dc.format.mimetype application/pdf
- dc.identifier.citation Mallinger K, Baeza-Yates R. Responsible AI in farming: a multi-criteria framework for sustainable technology design. Appl Sci. 2024 Jan 1;14(1):437. DOI: 10.3390/app14010437
- dc.identifier.doi http://dx.doi.org/10.3390/app14010437
- dc.identifier.issn 2076-3417
- dc.identifier.uri http://hdl.handle.net/10230/71411
- dc.language.iso eng
- dc.publisher MDPI
- dc.relation.ispartof Applied Sciences . 2024 Jan 1;14(1):437
- dc.rights © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Farming 4.0en
- dc.subject.keyword Autonomous farmingen
- dc.subject.keyword Artificial intelligenceen
- dc.subject.keyword Technology assessmenten
- dc.subject.keyword Requirement analysisen
- dc.subject.keyword Responsible AIen
- dc.title Responsible AI in farming: a multi-criteria framework for sustainable technology designen
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion