TY - JOUR
T1 - Ethics by Design
T2 - Responsible Research & Innovation for AI in the Food Sector
AU - Craigon, Peter J
AU - Sacks, Justin
AU - Brewer, Steve
AU - Frey, Jeremy
AU - Gutierrez, Anabel
AU - Jacobs, Naomi
AU - Kanza, Samantha
AU - Manning, Louise
AU - Munday, Samuel
AU - Wintour, Alexsis
AU - Pearson, Simon
PY - 2023/4
Y1 - 2023/4
N2 - 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.
AB - 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.
U2 - 10.1016/j.jrt.2022.100051
DO - 10.1016/j.jrt.2022.100051
M3 - Article
SN - 2666-6596
JO - Journal of Responsible Technology
JF - Journal of Responsible Technology
M1 - 100051
ER -