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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Machine Learning and Knowledge Extraction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4990/5/3/53 |
| _version_ | 1797579108083826688 |
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| author | Mohammad Mohammad Amini Marcia Jesus Davood Fanaei Sheikholeslami Paulo Alves Aliakbar Hassanzadeh Benam Fatemeh Hariri |
| author_facet | Mohammad Mohammad Amini Marcia Jesus Davood Fanaei Sheikholeslami Paulo Alves Aliakbar Hassanzadeh Benam Fatemeh Hariri |
| author_sort | Mohammad Mohammad Amini |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T22:32:14Z |
| format | Article |
| id | doaj.art-a2b5b6d9f41b4145be2e5cff36bf0a4b |
| institution | Directory Open Access Journal |
| issn | 2504-4990 |
| language | English |
| last_indexed | 2024-03-10T22:32:14Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machine Learning and Knowledge Extraction |
| spelling | doaj.art-a2b5b6d9f41b4145be2e5cff36bf0a4b2023-11-19T11:41:45ZengMDPI AGMachine Learning and Knowledge Extraction2504-49902023-08-01531023103510.3390/make5030053Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR MandateMohammad Mohammad Amini0Marcia Jesus1Davood Fanaei Sheikholeslami2Paulo Alves3Aliakbar Hassanzadeh Benam4Fatemeh Hariri5R&D Department, SENSOMATT Lda., 6000-767 Castelo Branco, PortugalR&D Department, SENSOMATT Lda., 6000-767 Castelo Branco, PortugalR&D Department, SENSOMATT Lda., 6000-767 Castelo Branco, PortugalCentre for Interdisciplinary Research in Health, Universidade Católica Portuguesa, Rua de Diogo Botelho, 1327, 4169-005 Porto, PortugalR&D Department, SENSOMATT Lda., 6000-767 Castelo Branco, PortugalR&D Department, SENSOMATT Lda., 6000-767 Castelo Branco, PortugalThis 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.https://www.mdpi.com/2504-4990/5/3/53artificial intelligence (AI)healthcare ethicsdata privacygeneral data protection regulation (GDPR)AI in nursing |
| spellingShingle | Mohammad Mohammad Amini Marcia Jesus Davood Fanaei Sheikholeslami Paulo Alves Aliakbar Hassanzadeh Benam Fatemeh Hariri Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate Machine Learning and Knowledge Extraction artificial intelligence (AI) healthcare ethics data privacy general data protection regulation (GDPR) AI in nursing |
| title | Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate |
| title_full | Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate |
| title_fullStr | Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate |
| title_full_unstemmed | Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate |
| title_short | Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate |
| title_sort | artificial intelligence ethics and challenges in healthcare applications a comprehensive review in the context of the european gdpr mandate |
| topic | artificial intelligence (AI) healthcare ethics data privacy general data protection regulation (GDPR) AI in nursing |
| url | https://www.mdpi.com/2504-4990/5/3/53 |
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