Ethical Dilemmas and Countermeasures in the Application of Artificial Intelligence in Medical Decision-Making
Journal: Advanced Journal of Nursing DOI: 10.32629/ajn.v6i1.3789
Abstract
The incorporation of artificial intelligence (AI) into medical decision-making has wrought substantial transformations in healthcare, ushering in unprecedented diagnostic precision and operational efficiency. However, this technological evolution concomitantly engenders intricate ethical conundrums, such as the opacity of decision-making processes, deeply-rooted biases, and nebulous accountability frameworks. This article conducts a critical scrutiny of these ethical tensions and proffers solutions founded on transparency, equity, and patient-centered governance. By integrating interdisciplinary insights, it charts a course for the ethical implementation of AI in the medical domain.
Keywords
Algorithmic Transparency; Health Equity; AI Accountability; Synthetic Data; Ethical Foresight
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[1]Gomez C, Smith B L, Zayas A, et al. Explainable AI decision support improves accuracy during telehealth strep throat screening[J]. Communications Medicine, 2024, 4(1): 149.
[2]Corti L, Oltmans R, Jung J, et al. ``It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine[C]//Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 2024: 1-21.
[3]Lukkien D R M, Stolwijk N E, Askari S I, et al. AI-Assisted Decision-Making in Long-Term Care: Qualitative Study on Prerequisites for Responsible Innovation[J]. JMIR nursing, 2024, 7(1): e55962.
[4]Contaldo M T, Pasceri G, Vignati G, et al. AI in radiology: navigating medical responsibility[J]. Diagnostics, 2024, 14(14): 1506.
[5]Braun M, Hummel P, Beck S, et al. Primer on an ethics of AI-based decision support systems in the clinic[J]. Journal of medical ethics, 2021, 47(12): e3-e3.
[6]Bleher H, Braun M. Diffused responsibility: attributions of responsibility in the use of AI-driven clinical decision support systems[J]. AI and Ethics, 2022, 2(4): 747-761.
[7]Bayan F M H. The Ethics of AI: navigating the Moral dilemmas of Artificial Intelligence[J]. Arab Journal for Scientific Publishing (AJSP) ISSN, 2024, 2663: 5798.
[8]Paulin D, Joud R, Hennebert C, et al. HistoTrust: tracing AI behavior with secure hardware and blockchain technology[J]. Annals of Telecommunications, 2023, 78(7): 413-427.
[9]Alshehhi K, Cheaitou A, Rashid H. Adoption frameworks for artificial intelligence in the public sector: A systematic review of literature[J]. Proceedings of the 3rd South American International Industrial Engineering and Operations Management, 2022: 919-929.
[10]Krishnamoorthy M V. Enhancing Responsible AGI Development: Integrating Human-in-the-loop Approaches with Blockchain-based Smart Contracts[J]. Journal of Advances in Mathematics and Computer Science, 2024, 39(9): 14-39.
[11]Macias-Fassio E, Morales A, Pruenza C, et al. Privacy-Preserving Statistical Data Generation: Application to Sepsis Detection[J]. arXiv preprint arXiv:2404.16638, 2024.
[12]Rogers W A, Draper H, Carter S M. Evaluation of artificial intelligence clinical applications: Detailed case analyses show value of healthcare ethics approach in identifying patient care issues[J]. Bioethics, 2021, 35(7): 623-633.
[2]Corti L, Oltmans R, Jung J, et al. ``It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine[C]//Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 2024: 1-21.
[3]Lukkien D R M, Stolwijk N E, Askari S I, et al. AI-Assisted Decision-Making in Long-Term Care: Qualitative Study on Prerequisites for Responsible Innovation[J]. JMIR nursing, 2024, 7(1): e55962.
[4]Contaldo M T, Pasceri G, Vignati G, et al. AI in radiology: navigating medical responsibility[J]. Diagnostics, 2024, 14(14): 1506.
[5]Braun M, Hummel P, Beck S, et al. Primer on an ethics of AI-based decision support systems in the clinic[J]. Journal of medical ethics, 2021, 47(12): e3-e3.
[6]Bleher H, Braun M. Diffused responsibility: attributions of responsibility in the use of AI-driven clinical decision support systems[J]. AI and Ethics, 2022, 2(4): 747-761.
[7]Bayan F M H. The Ethics of AI: navigating the Moral dilemmas of Artificial Intelligence[J]. Arab Journal for Scientific Publishing (AJSP) ISSN, 2024, 2663: 5798.
[8]Paulin D, Joud R, Hennebert C, et al. HistoTrust: tracing AI behavior with secure hardware and blockchain technology[J]. Annals of Telecommunications, 2023, 78(7): 413-427.
[9]Alshehhi K, Cheaitou A, Rashid H. Adoption frameworks for artificial intelligence in the public sector: A systematic review of literature[J]. Proceedings of the 3rd South American International Industrial Engineering and Operations Management, 2022: 919-929.
[10]Krishnamoorthy M V. Enhancing Responsible AGI Development: Integrating Human-in-the-loop Approaches with Blockchain-based Smart Contracts[J]. Journal of Advances in Mathematics and Computer Science, 2024, 39(9): 14-39.
[11]Macias-Fassio E, Morales A, Pruenza C, et al. Privacy-Preserving Statistical Data Generation: Application to Sepsis Detection[J]. arXiv preprint arXiv:2404.16638, 2024.
[12]Rogers W A, Draper H, Carter S M. Evaluation of artificial intelligence clinical applications: Detailed case analyses show value of healthcare ethics approach in identifying patient care issues[J]. Bioethics, 2021, 35(7): 623-633.
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