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Potential Safety Issues and Moral Hazard Posed by Artificial General Intelligence
Artificial Intelligence (AI), a technology with a wide range of intelligence capabilities, has developed rapidly in recent years, bringing significant convenience and efficiency to society. However, most of the current artificial intelligence technologies belong to narrow artificial intelligence. Unlike Narrow AI, Artificial General Intelligence (AGI) possesses a more comprehensive understanding and problem-solving capability. AGI can learn in an unsupervised manner. General artificial intellige
Applied and Computational EngineeringOpen access Home About series Aims and scope Editorial board Announcements Indexing FAQs Policies Publication ethics Policies for authors Policies for reviewers Policies for editors Policies for organizers Open access policy Privacy policy Declaration of interests Authorship policy Preservation Peer review policy Volumes ACE Vol.228 ACE Vol.227 ACE Vol.226 All volumes Guides Guide for organizers Guide for authors Contact Potential Safety Issues and Moral Hazard Posed by Artificial General Intelligence Download PDF Download PDF View PDF Export Citation Article Information Received: 2 November 2024 Published: 15 November 2024 DOI: https://doi.org/10.54254/2755-2721/106/20241172 Article Type: Research Article Cite this article Feng,B. (2024). Potential Safety Issues and Moral Hazard Posed by Artificial General Intelligence. Applied and Computational Engineering,106,32-36. Data availability The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request. Disclaimer/Publisher's Note The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. About this Volume Volume Title: ACE Vol.106 Part of Series: Applied and Computational Engineering ISSN: 2755-2721 (Print) / 2755-273X (Online) Copyright & License © 2026 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Cookies are used by this site. Copyright © 2026 EWA Publishing, its licensors, and contributors.