医疗保健应用中的人工智能伦理和挑战:欧洲GDPR授权背景下的全面审查

IF 4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Machine learning and knowledge extraction Pub Date : 2023-08-07 DOI:10.3390/make5030053
Mohammad MohammadAmini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves, Aliakbar Hassanzadeh Benam, Fatemeh Hariri
{"title":"医疗保健应用中的人工智能伦理和挑战:欧洲GDPR授权背景下的全面审查","authors":"Mohammad MohammadAmini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves, Aliakbar Hassanzadeh Benam, Fatemeh Hariri","doi":"10.3390/make5030053","DOIUrl":null,"url":null,"abstract":"This study examines the ethical issues surrounding the use of Artificial Intelligence (AI) in healthcare, specifically nursing, under the European General Data Protection Regulation (GDPR). The analysis delves into how GDPR applies to healthcare AI projects, encompassing data collection and decision-making stages, to reveal the ethical implications at each step. A comprehensive review of the literature categorizes research investigations into three main categories: Ethical Considerations in AI; Practical Challenges and Solutions in AI Integration; and Legal and Policy Implications in AI. The analysis uncovers a significant research deficit in this field, with a particular focus on data owner rights and AI ethics within GDPR compliance. To address this gap, the study proposes new case studies that emphasize the importance of comprehending data owner rights and establishing ethical norms for AI use in medical applications, especially in nursing. This review makes a valuable contribution to the AI ethics debate and assists nursing and healthcare professionals in developing ethical AI practices. The insights provided help stakeholders navigate the intricate terrain of data protection, ethical considerations, and regulatory compliance in AI-driven healthcare. Lastly, the study introduces a case study of a real AI health-tech project named SENSOMATT, spotlighting GDPR and privacy issues.","PeriodicalId":93033,"journal":{"name":"Machine learning and knowledge extraction","volume":"28 1","pages":"1023-1035"},"PeriodicalIF":4.0000,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate\",\"authors\":\"Mohammad MohammadAmini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves, Aliakbar Hassanzadeh Benam, Fatemeh Hariri\",\"doi\":\"10.3390/make5030053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines the ethical issues surrounding the use of Artificial Intelligence (AI) in healthcare, specifically nursing, under the European General Data Protection Regulation (GDPR). The analysis delves into how GDPR applies to healthcare AI projects, encompassing data collection and decision-making stages, to reveal the ethical implications at each step. A comprehensive review of the literature categorizes research investigations into three main categories: Ethical Considerations in AI; Practical Challenges and Solutions in AI Integration; and Legal and Policy Implications in AI. The analysis uncovers a significant research deficit in this field, with a particular focus on data owner rights and AI ethics within GDPR compliance. To address this gap, the study proposes new case studies that emphasize the importance of comprehending data owner rights and establishing ethical norms for AI use in medical applications, especially in nursing. This review makes a valuable contribution to the AI ethics debate and assists nursing and healthcare professionals in developing ethical AI practices. The insights provided help stakeholders navigate the intricate terrain of data protection, ethical considerations, and regulatory compliance in AI-driven healthcare. Lastly, the study introduces a case study of a real AI health-tech project named SENSOMATT, spotlighting GDPR and privacy issues.\",\"PeriodicalId\":93033,\"journal\":{\"name\":\"Machine learning and knowledge extraction\",\"volume\":\"28 1\",\"pages\":\"1023-1035\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2023-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Machine learning and knowledge extraction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/make5030053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machine learning and knowledge extraction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/make5030053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 3

摘要

本研究根据欧洲通用数据保护条例(GDPR)探讨了在医疗保健,特别是护理中使用人工智能(AI)的伦理问题。该分析深入研究了GDPR如何应用于医疗保健人工智能项目,包括数据收集和决策阶段,以揭示每个步骤的道德影响。对文献的全面回顾将研究调查分为三大类:人工智能中的伦理考虑;人工智能集成的现实挑战与解决方案以及人工智能的法律和政策影响。该分析揭示了该领域的一个重大研究缺陷,特别关注数据所有者权利和GDPR合规性中的人工智能伦理。为了弥补这一差距,该研究提出了新的案例研究,强调了理解数据所有者权利和为人工智能在医疗应用(特别是护理领域)中的使用建立道德规范的重要性。这篇综述对人工智能伦理辩论做出了有价值的贡献,并帮助护理和医疗保健专业人员发展人工智能伦理实践。所提供的见解有助于利益相关者在人工智能驱动的医疗保健中导航复杂的数据保护、道德考虑和法规遵从性。最后,该研究介绍了一个名为SENSOMATT的真实人工智能健康技术项目的案例研究,突出了GDPR和隐私问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
This study examines the ethical issues surrounding the use of Artificial Intelligence (AI) in healthcare, specifically nursing, under the European General Data Protection Regulation (GDPR). The analysis delves into how GDPR applies to healthcare AI projects, encompassing data collection and decision-making stages, to reveal the ethical implications at each step. A comprehensive review of the literature categorizes research investigations into three main categories: Ethical Considerations in AI; Practical Challenges and Solutions in AI Integration; and Legal and Policy Implications in AI. The analysis uncovers a significant research deficit in this field, with a particular focus on data owner rights and AI ethics within GDPR compliance. To address this gap, the study proposes new case studies that emphasize the importance of comprehending data owner rights and establishing ethical norms for AI use in medical applications, especially in nursing. This review makes a valuable contribution to the AI ethics debate and assists nursing and healthcare professionals in developing ethical AI practices. The insights provided help stakeholders navigate the intricate terrain of data protection, ethical considerations, and regulatory compliance in AI-driven healthcare. Lastly, the study introduces a case study of a real AI health-tech project named SENSOMATT, spotlighting GDPR and privacy issues.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.30
自引率
0.00%
发文量
0
审稿时长
7 weeks
期刊最新文献
Knowledge Graph Extraction of Business Interactions from News Text for Business Networking Analysis Machine Learning for an Enhanced Credit Risk Analysis: A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data A Data Mining Approach for Health Transport Demand Predicting Wind Comfort in an Urban Area: A Comparison of a Regression- with a Classification-CNN for General Wind Rose Statistics An Evaluative Baseline for Sentence-Level Semantic Division
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1