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
Documents |
|
|
|
PDF
Ethics by Design Responsible Research and Innovation for AI in the Food Sector - author copy.pdf - Whole Document Available under License Creative Commons Attribution-NonCommercial 4.0 International. 1MB | |
|
PDF
1-s2.0-S2666659622000282-main.pdf - Whole Document Available under License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International. 22MB |
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 |
Repository Staff Only: item control page