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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 Manning, S. Munday, A. Wintour, Simon PearsonSimon Pearson
<p>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.</p>

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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