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

Version 4 2024-03-12, 20:42
Version 3 2023-10-29, 17:56
journal contribution
posted on 2024-03-12, 20:42 authored by P. Craigon, J. Sacks, Steve BrewerSteve Brewer, J. Frey, A. Gutierrez Mendoza, S. Kanza, Louise ManningLouise Manning, S. Munday, A. Wintour, Simon PearsonSimon Pearson

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.

History

School affiliated with

  • Lincoln Institute for Agri-Food Technology (Research Outputs)

Publication Title

Journal of Responsible Technology

Volume

13

Issue

100051

Publisher

Elsevier

ISSN

2666-6596

Date Submitted

2022-11-22

Date Accepted

2022-10-05

Date of First Publication

2022-10-13

Date of Final Publication

2023-04-30

Date Document First Uploaded

2022-10-17

ePrints ID

52115

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