Publication: AI-Generated Diet for Pregnant Women
| dc.contributor.author | Hosseini, Mohammad | |
| dc.date.accessioned | 2026-01-22T21:47:43Z | |
| dc.date.issued | 2023-01-01 | |
| dc.description | Case study | |
| dc.description | Original submission date: 2023-12-08T21:22:25Z | |
| dc.description.abstract | This hypothetical scenario is about a dietician researcher who used a free application based on Large Language Models (DietGPT) to offer a daily diet to pregnant women. Once data collection is completed, the researcher discovers a tangential finding but decides against publication. Two years later, she receives an email from an advocacy group about DietGPT, noting that circumstances of some mothers were not considered in research. | |
| dc.description.sponsorship | National Institutes of Health | |
| dc.description.sponsorship | National Center for Advancing Translational Sciences | |
| dc.identifier | rn301155b | |
| dc.identifier.doi | 10.18130/q6mm-dq46 | |
| dc.identifier.uri | https://doi.org/10.18130/q6mm-dq46 | |
| dc.identifier.uri | https://libraopen.library.virginia.edu/handle/item/9081 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.publisher | Online Ethics Center | |
| dc.relation | https://onlineethics.org/cases/ai-generated-diet-pregnant-women | |
| dc.rights | Attribution-NonCommercial 4.0 International (CC BY-NC) | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Food Science | |
| dc.subject | Nutrition | |
| dc.subject | Life and Environmental Sciences | |
| dc.subject | Artificial Intelligence and Robotics | |
| dc.subject | Bias in Research | |
| dc.subject | Cultural Awareness and Sensitivity | |
| dc.subject | Diversity | |
| dc.subject | Ethics and Society | |
| dc.subject | Human Subjects Research | |
| dc.subject | Vulnerable Populations | |
| dc.subject | Publication Ethics | |
| dc.title | AI-Generated Diet for Pregnant Women | |
| dc.type | Learning Object | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 9f73d064-1b15-4306-b6b4-70d8a266854a | |
| relation.isAuthorOfPublication.latestForDiscovery | 9f73d064-1b15-4306-b6b4-70d8a266854a |
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