Between Algorithms and Humanity: Bioethical Challenges in Artificial Intelligence and Big Data in Healthcare
DOI:
https://doi.org/10.55892/jrg.v9i20.2912Keywords:
Artificial Intelligence, Big Data, Bioethics, Algorithmic Governance, Health Justice, Digital Vulnerability, Moral ResponsibilityAbstract
The integration of artificial intelligence and Big Data into healthcare ushers in a new regime of clinical and institutional rationality, in which decisions are increasingly mediated by opaque, statistical, and potentially asymmetrical systems. This article examines the ethical, legal, and political foundations of this landscape, reinterpreting classic bioethical principles in light of contemporary challenges such as algorithmic explainability, digital vulnerability, informational inequalities, and the risks of technological coloniality. The analysis integrates recent international literature and national investigations, proposing governance criteria that preserve human dignity, justice, and moral responsibility. It concludes that the digital future of healthcare will only be legitimate if innovation remains subordinated to ethical prudence and the common good.
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References
Carneiro, V., & Dadalto, L. (2022). Diretivas antecipadas psiquiátricas e sua possibilidade de aplicação no sistema jurídico brasileiro. Civilistica.com, 11(2), 1–23.
Chen, C., Chen, Z., Luo, W., et al. (2023). Explainable artificial intelligence in clinical decision-support systems: a systematic review. Medicine, 102(15), e33234. https://doi.org/10.1097/MD.0000000000033234
Correia, A. C. B. B. (2023). Tecnologias digitais em saúde e proteção de dados sensíveis: desafios contemporâneos. Revista de Direito da Saúde Comparado, 2(1), 45–60.
Da Silva, M., et al. (2023). Public reason and explainability in medical AI. Ethical Theory and Moral Practice, 26, 743–762. https://doi.org/10.1007/s10677-023-10386-5
Delgado, J. (2022). Artificial intelligence and the right to health: challenges for global bioethics. AI & Society, 37, 737–746. https://doi.org/10.1007/s00146-021-01253-y
Delgado, J., De Manuel, A., Moyano, C., et al. (2022). Bias in algorithms of AI systems developed for COVID-19: a scoping review. Journal of Bioethical Inquiry, 19, 407–419. https://doi.org/10.1007/s11673-022-10218-3
Fleck, L. M. (2021). Bioethics and Public Policy: Is There Hope for Public Reason? Cambridge Quarterly of Healthcare Ethics, 30(1), 4-15.
Garrafa, V. (2005). Bioética de intervenção: uma proposta epistemológica e uma necessidade para sociedades com grupos sociais vulneráveis. Revista Brasileira de Bioética, 1(1), 11-23.
Ginghina, R. (2020). Ethical challenges in digital health, AI and human rights. In L. Dabove & G. Rodriguez (Eds.), Springer Handbook of Bioethics and Law (pp. 451–467). Springer. https://doi.org/10.1007/978-3-030-48685-5_34
Hernando, A., et al. (2018). Self-perceptions of ethical competence among health sciences students: a mixed-methods study. BMC Medical Education, 18, 1–14. https://doi.org/10.1186/s12909-018-1156-z
Lindholm, O., Karjalainen, S., & Launis, V. (2025). Algorithmic vulnerability in digital health systems. Monash Bioethics Review, 43, 128–142.
Macklin, R. (2022). A new definition for global bioethics: COVID-19 as a case study. Global Bioethics, 33, 73–85. https://doi.org/10.1080/11287462.2022.2052373
Murdoch, B. (2021). Privacy and artificial intelligence: challenges for protecting health information in a new era. BMC Medical Ethics, 22(1), 122. https://doi.org/10.1186/s12910-021-00687-3
Murphy, K., Di Ruggiero, E., Upshur, R., et al. (2021). Artificial intelligence for good health: a scoping review of the ethics literature. BMC Medical Ethics, 22(1), 1-8. https://doi.org/10.1186/s12910-021-00577-8
Ortiz-Millán, G. (2022). Justice and algorithmic bias in digital health. Bioethics Update, 8, 103-118.
Scheibner, J., et al. (2021). Revolutionizing medical data sharing using secure multi-party computation. Journal of Medical Internet Research, 23, e25127. https://doi.org/10.2196/25127
Stoeger, K., & Schmidhuber, M. (2020). Pandemic surveillance and emergency data use: ethical and legal tensions. Journal of Law and the Biosciences, 7(1), 1–15. https://doi.org/10.1093/jlb/lsaa064
