Ethics by design: Responsible research & innovation for AI in the food sector

Craigon, Peter J.; Sacks, Justin; Brewer, Steve; Frey, Jeremy; Gutierrez, Anabel; Jacobs, Naomi; Kanza, Samantha; Manning, Louise; Munday, Samuel; Wintour, Alexsis; Pearson, Simon

Abstract

Here we reflect on how a multidisciplinary 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.

Citation

Craigon, P. J., Sacks, J., Brewer, S., Frey, J., Gutierrez, A., Jacobs, N., Kanza, S., Manning, L., Munday, S., Wintour, A., & Pearson, S. (2023). Ethics by design: Responsible research & innovation for AI in the food sector. Journal of Responsible Technology, 13, Article 100051. https://doi.org/10.1016/j.jrt.2022.100051

• Journal Article Type: Article
• Acceptance Date: Oct 5, 2022
• Online Publication Date: Oct 13, 2022
• Publication Date: Apr 1, 2023
• Deposit Date: Apr 17, 2024
• Publicly Available Date: Apr 18, 2024
• Journal: Journal of Responsible Technology
• Electronic ISSN: 2666-6596
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Article Number: 100051
• DOI: https://doi.org/10.1016/j.jrt.2022.100051
• Keywords: Responsible innovation, Speculative design, Food, Ethics, Card-based tools, AI
• Public URL: https://nottingham-repository.worktribe.com/output/33831466
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S2666659622000282?via%3Dihub