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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/Magazine › Journal article › peer-review

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Ethics by design: Responsible research & innovation for AI in the food sector: Responsible Research & Innovation for AI in the Food Sector. / Craigon, Peter J.; Jacobs, Naomi; Sacks, Justin et al.
In: Journal of Responsible Technology, Vol. 13, 100051, 30.04.2023.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Craigon, PJ, Jacobs, N, Sacks, J, Wintour, A, Munday, S, Kanza, S, Frey, J, Pearson, S, Gutierrez, A, Manning, L & Brewer, S 2023, 'Ethics by design: Responsible research & innovation for AI in the food sector: Responsible Research & Innovation for AI in the Food Sector', Journal of Responsible Technology, vol. 13, 100051. https://doi.org/10.1016/j.jrt.2022.100051

APA

Craigon, P. J., Jacobs, N., Sacks, J., Wintour, A., Munday, S., Kanza, S., Frey, J., Pearson, S., Gutierrez, A., Manning, L., & Brewer, S. (2023). Ethics by design: Responsible research & innovation for AI in the food sector: Responsible Research & Innovation for AI in the Food Sector. Journal of Responsible Technology, 13, Article 100051. https://doi.org/10.1016/j.jrt.2022.100051

Vancouver

Craigon PJ, Jacobs N, Sacks J, Wintour A, Munday S, Kanza S et al. Ethics by design: Responsible research & innovation for AI in the food sector: Responsible Research & Innovation for AI in the Food Sector. Journal of Responsible Technology. 2023 Apr 30;13:100051. Epub 2022 Oct 13. doi: 10.1016/j.jrt.2022.100051

Author

Craigon, Peter J. ; Jacobs, Naomi ; Sacks, Justin et al. / Ethics by design: Responsible research & innovation for AI in the food sector : Responsible Research & Innovation for AI in the Food Sector. In: Journal of Responsible Technology. 2023 ; Vol. 13.

Bibtex

@article{27c4330190224289942905fdf1ece9cc,
title = "Ethics by design: Responsible research & innovation for AI in the food sector: Responsible Research & Innovation for AI in the Food Sector",
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{\textquoteright}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.",
keywords = "Responsible innovation, Speculative design, Food, Ethics, Card-based tools, AI",
author = "Craigon, {Peter J.} and Naomi Jacobs and Justin Sacks and Alexsis Wintour and Samuel Munday and Samantha Kanza and Jeremy Frey and Simon Pearson and Anabel Gutierrez and Louise Manning and Steve Brewer",
year = "2023",
month = apr,
day = "30",
doi = "10.1016/j.jrt.2022.100051",
language = "English",
volume = "13",
journal = "Journal of Responsible Technology",
issn = "2666-6596",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Ethics by design: Responsible research & innovation for AI in the food sector

T2 - Responsible Research & Innovation for AI in the Food Sector

AU - Craigon, Peter J.

AU - Jacobs, Naomi

AU - Sacks, Justin

AU - Wintour, Alexsis

AU - Munday, Samuel

AU - Kanza, Samantha

AU - Frey, Jeremy

AU - Pearson, Simon

AU - Gutierrez, Anabel

AU - Manning, Louise

AU - Brewer, Steve

PY - 2023/4/30

Y1 - 2023/4/30

N2 - 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.

AB - 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.

KW - Responsible innovation

KW - Speculative design

KW - Food

KW - Ethics

KW - Card-based tools

KW - AI

U2 - 10.1016/j.jrt.2022.100051

DO - 10.1016/j.jrt.2022.100051

M3 - Journal article

VL - 13

JO - Journal of Responsible Technology

JF - Journal of Responsible Technology

SN - 2666-6596

M1 - 100051

ER -