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

Journal of responsible technology Pub Date : 2023-04-01 Epub Date: 2022-10-13 DOI:10.1016/j.jrt.2022.100051
Peter J. Craigon , Justin Sacks , Steve Brewer , Jeremy Frey , Anabel Gutierrez , Naomi Jacobs , Samantha Kanza , Louise Manning , Samuel Munday , Alexsis Wintour , Simon Pearson
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引用次数: 7

Abstract

Here we reflect on how a multidisciplinary 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.

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设计伦理:食品行业人工智能负责任的研究与创新
在这里,我们反思了一个多学科工作组如何探索在食品供应链中使用新技术进行数据共享的伦理复杂性。我们使用了不同设计方法的三部分过程,其中包括协作构思和推测场景开发,设计虚构对象的创建,以及使用基于卡片的工具Moral-IT deck进行评估。通过EPSRC的负责任创新框架,我们展示了预期、反思、参与和行动的过程如何构建一个可信的、虚构的世界,在这个世界中,数据信任使用人工智能(AI)来支持整个食品供应链的数据共享和决策。这种方法为考虑数据共享的伦理挑战提供了丰富的机会,作为反思和参与负责任的创新方法的一部分。我们反思了这种方法作为参与(共同)设计和负责任创新的方法的价值和潜力。
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来源期刊
Journal of responsible technology
Journal of responsible technology Information Systems, Artificial Intelligence, Human-Computer Interaction
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
168 days
期刊最新文献
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