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Ethical Pathway for Safe Artificial Intelligence [AI] With Five Pillars

Journal of Biomedical Research & Environmental Sciences article abstract with citation details, DOI, publication dates, subject areas, full text links, and references.

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Open Access
Article Type Commentary
Subject General Science
OCLC JBRES Record
Nikolaos Siafakas*
Issue: Volume6-Issue5
Pages: 457-464
Received: 2025-04-17
Accepted: 2025-05-16
Published: 2025-05-17

Abstract

The rapidly advancing field of AI has brought numerous benefits to humanity. However, there are already considerable risks, and it is predicted that AI may become life-threatening once [and if] it attains the status of super-AI, stronger than humans.

Therefore, it is crucial to develop strategies that ensure AI remains aligned with human life in the future.

Digital ethics could pave the way for safe and responsible AI. An ethical pathway with five pillars: Ethical courses and a Hippocratic-like oath, a global code of AI ethics, local ethical committees and trials to embed moral principles into algorithms is presented as a framework for safe AI. The strength of this theoretical proposal comes from the integration of the five pillars into one cohesive initiative implemented through a global agreement.

By enhancing ethical knowledge and responsibilities, in addition to a worldwide accepted treaty enforced by local Ethical committees, it is argued that the risks of misuse of AI can be significantly reduced.

Finally, by embedding the right principles into the algorithms, we can ultimately achieve the vision of machines that are not only more intelligent but also more ethical than humans.

FullText HTML FullText PDF DOI: 10.37871/jbres2103 Crossmark

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Copyright

© 2025 Siafakas N. Distributed under Creative Commons CC-BY 4.0 Creative CommonsAttribution

How to cite this article

Siafakas N. Ethical Pathway for Safe Artifi cial Intelligence [AI] With Five Pillars. J Biomed Res Environ Sci. 2025 May 17; 6(5): 457-464. doi: 10.37871/jbres2103, Article ID: JBRES2103, Available at: https://www.jelsciences.com/articles/ jbres2103.pdf

Subject area(s)

Computer Science

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