Discrepancy and thematic bibliometric analyses of the remaining limitations in artificial intelligence

M. Mansor, Mahayaudin and Ibrahim, Nurain and Ahmad Radi, Noor Fadhilah and Abdul Rahim, Nadirah and Yahaya, Syarul Heiry and Abu Bakar, Mohd Aftar and Zakaria, Roslinazairimah (2024) Discrepancy and thematic bibliometric analyses of the remaining limitations in artificial intelligence. In: 2024 IEEE International Conference on Computing (ICOCO), 12-14 December 2024, KL Malaysia.

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Abstract

As artificial intelligence (AI) advances, it is essential to continuously comprehend its limitations to optimise the integration of AI into autonomous systems that empower humans. The first objective of this study is to highlight the key capabilities of both humans and AI, focusing on the differences and identifying limitations of AI from the literature. Through discrepancy analysis, this study uses a Venn diagram to visualise the remaining limitations of AI into five key domains: (i) emotional intelligence, (ii) consciousness and awareness, (iii) creative imagination, (iv) communication, and (v) ethical decision-making. Furthermore, this study employs thematic bibliometric analysis to provide a more detailed examination of each AI limitation as the second objective. This study has identified underdeveloped and emerging research themes with potential for future development, such as emotion recognition, human-computer interaction, digital health, and situational awareness, which may require further research. Additionally, this study commends the ongoing efforts to harness AI’s computational power and algorithmic innovations to enhance AI’s overall performance and applicability.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	traits discrepancy, Venn diagram, thematic map, ChatGPT, AI champion
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr Nadirah Abdul Rahim
Date Deposited:	23 Apr 2025 16:29
Last Modified:	23 Apr 2025 16:29
URI:	http://irep.iium.edu.my/id/eprint/120685

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