Research on the Philosophy of Science Oriented to Deep Learning under the Ethical Dilemma

Authors

  • Jie Zhou Faculty of Human Ecology, University Putra Malaysia, Malaysia
  • Ratna Roshida Ab. Razak Faculty of Human Ecology, University Putra Malaysia, Malaysia

Keywords:

Deep learning, Ethical dilemma, Philosophy of science, Random forest algorithm

Abstract

The rapid growth in technology has resulted in the technical up-gradation of works in every field. In this study, we are going to research the philosophy of science-oriented to deep learning under the ethical dilemma The philosophy of science is concerned with the value and use of scientific knowledge and its underlying assumptions, techniques, and implications. An ethical dilemma arises when a person is forced to choose between two courses of action, neither of which is morally permissible. Random Forest Algorithm is used in this research to perform regression and classification tasks. It is found that the Random Forest Algorithm outperforms other algorithms in classification problems.

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Illustration of the philosophy of science-oriented to DL under the ethical dilemma.

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Published

19.12.2022

How to Cite

Jie Zhou, & Ratna Roshida Ab. Razak. (2022). Research on the Philosophy of Science Oriented to Deep Learning under the Ethical Dilemma. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 65–69. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2363

Issue

Vol. 10 No. 2s (2022)

Section

Research Article

License

Copyright (c) 2022 Jie Zhou, Ratna Roshida Ab. Razak

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