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Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains

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

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Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains. / Manning, Louise; Brewer, Steve; Craigon, Peter et al.
In: Trends in Food Science and Technology, Vol. 133, 31.03.2023, p. 114-126.

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

Harvard

Manning, L, Brewer, S, Craigon, P, Frey, J, Gutierrez, A, Jacobs, N, Kanza, S, Munday, S, Sacks, J & Pearson, S 2023, 'Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains', Trends in Food Science and Technology, vol. 133, pp. 114-126. https://doi.org/10.1016/j.tifs.2023.01.015

APA

Manning, L., Brewer, S., Craigon, P., Frey, J., Gutierrez, A., Jacobs, N., Kanza, S., Munday, S., Sacks, J., & Pearson, S. (2023). Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains. Trends in Food Science and Technology, 133, 114-126. https://doi.org/10.1016/j.tifs.2023.01.015

Vancouver

Manning L, Brewer S, Craigon P, Frey J, Gutierrez A, Jacobs N et al. Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains. Trends in Food Science and Technology. 2023 Mar 31;133:114-126. Epub 2023 Feb 3. doi: 10.1016/j.tifs.2023.01.015

Author

Manning, Louise ; Brewer, Steve ; Craigon, Peter et al. / Reflexive governance architectures : Considering the ethical implications of autonomous technology adoption in food supply chains. In: Trends in Food Science and Technology. 2023 ; Vol. 133. pp. 114-126.

Bibtex

@article{b5b28ac197f04c54a6f302aec1610a7e,
title = "Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains",
abstract = "BackgroundThe application of autonomous technology in food supply chains gives rise to a number of ethical considerations associated with the interaction between human and technology, human-technology-plant and human-technology-animal. These considerations and their implications influence technology design, the ways in which technology is applied, how the technology changes food supply chain practices, decision-making and the associated ethical aspects and outcomes.Scope and approachUsing the concept of reflexive governance, this paper has critiqued existing reflective food-related ethical assessment tools and proposed the structural elements required for reflexive governance architectures which address both the sharing of data, and the use of artificial intelligence (AI) and machine learning in food supply chains.Key findings and conclusionsConsidering the ethical implications of using autonomous technology in real life contexts is challenging. The current approach, focusing on discrete ethical elements in isolation e.g., ethical aspects or outcomes, normative standards or ethically orientated compliance-based business strategies is not sufficient in itself. Alternatively, the application of more holistic, reflexive governance architectures can inform consideration of ethical aspects, potential ethical outcomes, in particular how they are interlinked and/or interdependent, and the need for mitigation at all lifecycle stages of technology and food product conceptualisation, design, realisation and adoption in the food supply chain. This research is of interest to those who are undertaking ethical deliberation on data sharing, and the use of AI and machine learning in food supply chains.",
keywords = "Data, Ethical aspects, Ethical outcomes, Reflective governance, Reflexive governance, AI, Food supply",
author = "Louise Manning and Steve Brewer and Peter Craigon and Jeremy Frey and Anabel Gutierrez and Naomi Jacobs and Samantha Kanza and Samuel Munday and Justin Sacks and Simon Pearson",
year = "2023",
month = mar,
day = "31",
doi = "10.1016/j.tifs.2023.01.015",
language = "English",
volume = "133",
pages = "114--126",
journal = "Trends in Food Science and Technology",
issn = "0924-2244",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Reflexive governance architectures

T2 - Considering the ethical implications of autonomous technology adoption in food supply chains

AU - Manning, Louise

AU - Brewer, Steve

AU - Craigon, Peter

AU - Frey, Jeremy

AU - Gutierrez, Anabel

AU - Jacobs, Naomi

AU - Kanza, Samantha

AU - Munday, Samuel

AU - Sacks, Justin

AU - Pearson, Simon

PY - 2023/3/31

Y1 - 2023/3/31

N2 - BackgroundThe application of autonomous technology in food supply chains gives rise to a number of ethical considerations associated with the interaction between human and technology, human-technology-plant and human-technology-animal. These considerations and their implications influence technology design, the ways in which technology is applied, how the technology changes food supply chain practices, decision-making and the associated ethical aspects and outcomes.Scope and approachUsing the concept of reflexive governance, this paper has critiqued existing reflective food-related ethical assessment tools and proposed the structural elements required for reflexive governance architectures which address both the sharing of data, and the use of artificial intelligence (AI) and machine learning in food supply chains.Key findings and conclusionsConsidering the ethical implications of using autonomous technology in real life contexts is challenging. The current approach, focusing on discrete ethical elements in isolation e.g., ethical aspects or outcomes, normative standards or ethically orientated compliance-based business strategies is not sufficient in itself. Alternatively, the application of more holistic, reflexive governance architectures can inform consideration of ethical aspects, potential ethical outcomes, in particular how they are interlinked and/or interdependent, and the need for mitigation at all lifecycle stages of technology and food product conceptualisation, design, realisation and adoption in the food supply chain. This research is of interest to those who are undertaking ethical deliberation on data sharing, and the use of AI and machine learning in food supply chains.

AB - BackgroundThe application of autonomous technology in food supply chains gives rise to a number of ethical considerations associated with the interaction between human and technology, human-technology-plant and human-technology-animal. These considerations and their implications influence technology design, the ways in which technology is applied, how the technology changes food supply chain practices, decision-making and the associated ethical aspects and outcomes.Scope and approachUsing the concept of reflexive governance, this paper has critiqued existing reflective food-related ethical assessment tools and proposed the structural elements required for reflexive governance architectures which address both the sharing of data, and the use of artificial intelligence (AI) and machine learning in food supply chains.Key findings and conclusionsConsidering the ethical implications of using autonomous technology in real life contexts is challenging. The current approach, focusing on discrete ethical elements in isolation e.g., ethical aspects or outcomes, normative standards or ethically orientated compliance-based business strategies is not sufficient in itself. Alternatively, the application of more holistic, reflexive governance architectures can inform consideration of ethical aspects, potential ethical outcomes, in particular how they are interlinked and/or interdependent, and the need for mitigation at all lifecycle stages of technology and food product conceptualisation, design, realisation and adoption in the food supply chain. This research is of interest to those who are undertaking ethical deliberation on data sharing, and the use of AI and machine learning in food supply chains.

KW - Data

KW - Ethical aspects

KW - Ethical outcomes

KW - Reflective governance

KW - Reflexive governance

KW - AI

KW - Food supply

U2 - 10.1016/j.tifs.2023.01.015

DO - 10.1016/j.tifs.2023.01.015

M3 - Journal article

VL - 133

SP - 114

EP - 126

JO - Trends in Food Science and Technology

JF - Trends in Food Science and Technology

SN - 0924-2244

ER -