AI Ethics: Should you trust AI with your medical diagnosis?

Main Article Content

Weerawut Rainmanee

Abstract

The use of AI in the medical field leads to one main ethical question: Should you trust AI with your medical diagnosis? To answer this question, one must understand how AI decides, which faces two main problems: The black box and validation data. The first is a problem of transparency in which we have no idea how AI makes decisions. The second is a problem of how we can set the validation data for training AI. This paper aims to analyze both problems and clarify how AI decides in medical diagnoses. Then I will show that AI use for medical image processing is one of the models that doesn't face these problems since it can provide the evidence of diagnosis. Next, I will address the question of whether you should trust AI in medical diagnoses, and I will show that the answer depends on comparing the functions between humans and AI.

Article Details

How to Cite
Rainmanee, W. (2025). AI Ethics: Should you trust AI with your medical diagnosis?. Journal of Integrative and Innovative Humanities, 5(1), 28–34. retrieved from https://so07.tci-thaijo.org/index.php/DJIIH/article/view/6207
Section
Research article

References

Anwar, S. M. (2023). Expert Systems for Interpretable Decisions in the Clinical Domain. In AI in Clinical Medicine (pp. 66-72). https://doi.org/https://doi.org/10.1002/9781119790686.ch7

Barkal, J. L., Stockert, J. W., Ehrenfeld, J. M., Aunger, C. E., & Cohen, L. K. (2023). General Framework for Using AI in Clinical Practice. In AI in Clinical Medicine (pp. 13-26). https://doi.org/https://doi.org/10.1002/9781119790686.ch2

Kavasidis, I., Salanitri, F. P., Palazzo, S., & Spampinato, C. (2023). History of AI in Clinical Medicine. In AI in Clinical Medicine (pp. 39-48). https://doi.org/https://doi.org/10.1002/9781119790686.ch4

Khachnaoui, H., Mabrouk, R., & Khlifa, N. (2020). Machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review. IET Image Processing, 14(16), 4013-4026. https://doi.org/https://doi.org/10.1049/iet-ipr.2020.1048

Palm, C. (2023). History, Core Concepts, and Role of AI in Clinical Medicine. In AI in Clinical Medicine (pp. 49-55). https://doi.org/https://doi.org/10.1002/9781119790686.ch5

Perrault, R., & Clark, J. (2024). Artificial Intelligence Index Report 2024.

Russell, B. (1945). A history of western philosophy. Simon and Schuster.

Wang, R., Lei, T., Cui, R., Zhang, B., Meng, H., & Nandi, A. K. (2022). Medical image segmentation using deep learning: A survey. IET Image Processing, 16(5), 1243-1267. https://doi.org/https://doi.org/10.1049/ipr2.12419