Generative Artificial Intelligence Opportunities and Threats: Bibliometric Analysis

This study conducts a bibliometric analysis on 4,262 works published under the title “Generative Artificial Intelligence-GAI” between 2020 and 2024, sourced from Web of Science (WoS). The analysis covers keyword clouds, the most frequently used terms in article titles, types of publications, fields with the highest volume of publications. The research on GAI, a rapidly growing subfield of artificial intelligence (AI), is examined, the current state is critically analyzed, and recommendations are provided concerning the opportunities and threats in the responsible development of AI.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1109/ubmk63289.2024.10773519
Citations
3
Primary Topic
Economic and Technological Developments in Russia
Type
article
Field-Weighted Citation Impact
4.21
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article

Generative Artificial Intelligence Opportunities and Threats: Bibliometric Analysis

Şeref Sağıroğlu, Betül Ersöz, Halil İbrahim Bülbül
3 citations
Economic and Technological Developments in Russia
4.21
article

Generative Artificial Intelligence Opportunities and Threats: Bibliometric Analysis

Şeref Sağıroğlu, Betül Ersöz, Halil İbrahim Bülbül
article en
3 citations

Abstract

This study conducts a bibliometric analysis on 4,262 works published under the title “Generative Artificial Intelligence-GAI” between 2020 and 2024, sourced from Web of Science (WoS). The analysis covers keyword clouds, the most frequently used terms in article titles, types of publications, fields with the highest volume of publications. The research on GAI, a rapidly growing subfield of artificial intelligence (AI), is examined, the current state is critically analyzed, and recommendations are provided concerning the opportunities and threats in the responsible development of AI.

Gazi University (TR)
Reduced inequalities
Openalex Percentile: Top 5%
Economic and Technological Developments in Russia
4.21
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