Ethics by Design: Responsible Research & Innovation for AI in the Food Sector

Craigon, P., Sacks, J., Brewer, S. , Frey, J., Gutierrez Mendoza, A., Kanza, S., Manning, L., Munday, S., Wintour, A. and Pearson, S. (2023) Ethics by Design: Responsible Research & Innovation for AI in the Food Sector. Journal of Responsible Technology, 13 (100051). ISSN 2666-6596

Full content URL: https://doi.org/10.1016/j.jrt.2022.100051

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Ethics by Design: Responsible Research & Innovation for AI in the Food Sector
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Item Type:Article
Item Status:Live Archive

Abstract

Here we reflect on how a multi-disciplinary working group explored the ethical complexities of the use of new technologies for data sharing in the food supply chain. We used a three-part process of varied design methods, which included collaborative ideation and speculative scenario development, the creation of design fiction objects, and assessment using the Moral-IT deck, a card-based tool. We present, through the lens of the EPSRC's Framework for Responsible Innovation how processes of anticipation, reflection, engagement and action built a plausible, fictional world in which a data trust uses artificial intelligence (AI) to support data sharing and decision-making across the food supply chain. This approach provides rich opportunities for considering ethical challenges to data sharing as part of a reflexive and engaged responsible innovation approach. We reflect on the value and potential of this approach as a method for engaged (co-)design and responsible innovation.

Keywords:responsible innovation, Speculative Design, Food, Ethics, card-based tools, artificial intelligence
Subjects:D Veterinary Sciences, Agriculture and related subjects > D610 Food Science
Divisions:College of Science > Lincoln Institute for Agri-Food Technology
ID Code:52115
Deposited On:22 Nov 2022 12:09

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