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

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

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Article number100051
JournalJournal of Responsible Technology
Early online date13 Oct 2022
DOIs
Publication statusPublished - Apr 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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