Patrycja Szkudlarek, Iman Kassam, Stefan Kloiber, Marta Maslej, Sean Hill, Laura Sikstrom
{"title":"共同设计电子健康记录衍生的数字仪表板,以支持公平的人工智能在心理健康中的应用。","authors":"Patrycja Szkudlarek, Iman Kassam, Stefan Kloiber, Marta Maslej, Sean Hill, Laura Sikstrom","doi":"10.3233/SHTI250005","DOIUrl":null,"url":null,"abstract":"<p><p>Guided by interviews with end-users and in collaboration with lived-experience advisors, the Fairness Dashboard is being co-designed to promote the standardized and responsible utilization of sociodemographic data in statistical and machine learning models. This initiative aims to mitigate the potential for harm and to advance the equitable and compassionate interpretation of knowledge derived from Artificial Intelligence.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"322 ","pages":"12-16"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Co-Designing an Electronic Health Record Derived Digital Dashboard to Support Fair-AI Applications in Mental Health.\",\"authors\":\"Patrycja Szkudlarek, Iman Kassam, Stefan Kloiber, Marta Maslej, Sean Hill, Laura Sikstrom\",\"doi\":\"10.3233/SHTI250005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Guided by interviews with end-users and in collaboration with lived-experience advisors, the Fairness Dashboard is being co-designed to promote the standardized and responsible utilization of sociodemographic data in statistical and machine learning models. This initiative aims to mitigate the potential for harm and to advance the equitable and compassionate interpretation of knowledge derived from Artificial Intelligence.</p>\",\"PeriodicalId\":94357,\"journal\":{\"name\":\"Studies in health technology and informatics\",\"volume\":\"322 \",\"pages\":\"12-16\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in health technology and informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/SHTI250005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI250005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Co-Designing an Electronic Health Record Derived Digital Dashboard to Support Fair-AI Applications in Mental Health.
Guided by interviews with end-users and in collaboration with lived-experience advisors, the Fairness Dashboard is being co-designed to promote the standardized and responsible utilization of sociodemographic data in statistical and machine learning models. This initiative aims to mitigate the potential for harm and to advance the equitable and compassionate interpretation of knowledge derived from Artificial Intelligence.