Peter J. Craigon , Justin Sacks , Steve Brewer , Jeremy Frey , Anabel Gutierrez , Naomi Jacobs , Samantha Kanza , Louise Manning , Samuel Munday , Alexsis Wintour , Simon Pearson
{"title":"设计伦理:食品行业人工智能负责任的研究与创新","authors":"Peter J. Craigon , Justin Sacks , Steve Brewer , Jeremy Frey , Anabel Gutierrez , Naomi Jacobs , Samantha Kanza , Louise Manning , Samuel Munday , Alexsis Wintour , Simon Pearson","doi":"10.1016/j.jrt.2022.100051","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":"13 ","pages":"Article 100051"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Ethics by design: Responsible research & innovation for AI in the food sector\",\"authors\":\"Peter J. Craigon , Justin Sacks , Steve Brewer , Jeremy Frey , Anabel Gutierrez , Naomi Jacobs , Samantha Kanza , Louise Manning , Samuel Munday , Alexsis Wintour , Simon Pearson\",\"doi\":\"10.1016/j.jrt.2022.100051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":73937,\"journal\":{\"name\":\"Journal of responsible technology\",\"volume\":\"13 \",\"pages\":\"Article 100051\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of responsible technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666659622000282\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of responsible technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666659622000282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ethics by design: Responsible research & innovation for AI in the food sector
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.