IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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DYNAMIC ETHICS OF ARTIFICIAL INTALLIGENCE

AUTHORS:
Chaitali Birewar
Mentor
Snehal Thete
Affiliation
Kaveri College of Arts, Science and Commerce, Pune
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Rigorously AI evolved over humans, but adapting dynamic ethics closer to moral values is still a question in AI world. Statically defined protocols and measures are being taken care by the developers but dynamic behavior according to multiple scenarios is still lacking. Even if we proved something morally correct to chatbot still it will stick to its predefined protocols without compromising it.


The further research is all about the methodology to design a system that will adapt the dynamic framework of ethics. It spans the ideology of gaining and revising the values and applying it according to the need to preserve privacy security and the morality.

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Birewar, C. (2026). Dynamic Ethics of Artificial Intalligence. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.098

Birewar, Chaitali. "Dynamic Ethics of Artificial Intalligence." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.098.

Birewar, Chaitali. "Dynamic Ethics of Artificial Intalligence." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.098.

References
1.Abdulrahman M. Al-Zahrani & Talal M. Alasmari, 2024. "Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.

2.David Brown. Rethinking Ethical AI: A Dynamic Framework for Responsible Algorithmic Decision-Making. Authorea. September 17, 2025.

3.Gundersen L, Aasebø E, Ødegård Ø (2023) Artificial intelligence in healthcare: A systematic review of patient perspectives. International Journal of Medical Informatics 170: 104436.

4.High-Level Expert Group on Artificial Intelligence (AI HLEG), “Ethics Guidelines for Trustworthy AI,” European Commission, Apr. 2019.

5.Floridi et al., “AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations,” Minds Mach., vol. 28, no. 4, pp. 689–707, 2018

6.Lahoti, Ronith, The Socio-Ethical Dynamics of Artificial Intelligence in Healthcare (April 08, 2024). Available at SSRN: https://ssrn.com/abstract=4982593 or http://dx.doi.org/10.2139/ssrn.4982593

7.Mrinal Kanti Sarkar, Smt. Sangita Dey Sarkar (2024), The Ethics Of Artificial Intelligence: Ethics And Moral Challenges

8.UNESCO, “Recommendation on the Ethics of Artificial Intelligence,” adopted Nov. 2021. (Global normative instrument for AI ethics)
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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