Litcius/Paper detail

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

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

2022Journal of Responsible Technology23 citationsDOIOpen Access PDF

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.

Topics & Concepts

Supply chainReflexivityAnticipation (artificial intelligence)Multidisciplinary approachDesign thinkingKnowledge managementBig dataResponsible Research and InnovationAction researchComputer scienceSociologyEngineering ethicsBusinessEngineeringMarketingHuman–computer interactionArtificial intelligencePedagogySocial scienceOperating systemInnovative Human-Technology InteractionEthics and Social Impacts of AIService and Product Innovation