Home > Research > Publications & Outputs > Ethics by design: Responsible research & innova...


Text available via DOI:

View graph of relations

Ethics by design: Responsible research & innovation for AI in the food sector: Responsible Research & Innovation for AI in the Food Sector

Research output: Contribution to Journal/MagazineJournal articlepeer-review

  • Peter J. Craigon
  • Naomi Jacobs
  • Justin Sacks
  • Alexsis Wintour
  • Samuel Munday
  • Samantha Kanza
  • Jeremy Frey
  • Simon Pearson
  • Anabel Gutierrez
  • Louise Manning
  • Steve Brewer
Article number100051
<mark>Journal publication date</mark>30/04/2023
<mark>Journal</mark>Journal of Responsible Technology
Number of pages10
Publication StatusPublished
Early online date13/10/22
<mark>Original language</mark>English


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.