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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Artificial General Intelligent Terrorism: Ethical AGI

Authors: James Kunle Olorundare, 2-Olubunmi Adebimpe Olorundare, and 3-FAGBOYO, RACHEL JOLAYEMI;

Artificial General Intelligent Terrorism: Ethical AGI

Abstract

ABSTRACT: This paper explores the ethical challenges and potential risks associated with Artificial General Intelligence (AGI) in the context of terrorism, termed Artificial General Intelligent Terrorism (AGIT). The discussion highlights the urgent need for a collective discourse and regulatory frameworks to address the ethical implications of AGI's potential misuse by terrorist organizations. It examines the development of AGI, its characteristics, and the risks of its deployment in harmful ways, emphasizing the importance of ethical frameworks, including utilitarianism, deontological ethics, and virtue ethics, to guide the responsible development and use of AGI vis-à-vis Global Digital Compact. The paper argues for proactive measures to ensure AGI aligns with human values and contributes positively to society, while mitigating the dangers of its exploitation for malicious purposes. KEYWORDS: Artificial General Intelligence (AGI), Ethical frameworks, Terrorism, Risk Mitigation, Global Digital Compact.

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Keywords

James Kunle Olorundare, Artificial General Intelligence (AGI), Rachel Jolayemi Fagboyo, Global Digital Compact, Risk Mitigation, Olubunmi Adebimpe Olorundare, Ethical frameworks, Artificial General Intelligent Terrorism: Ethical AGI, Terrorism, SSAR Journal of Arts Humanities and Social Sciences (SSARJAHSS)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green