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.
Authors
- Şeref Sağıroğlu (ORCID: https://orcid.org/0000-0003-0805-5818)
- Betül Ersöz
- Halil İbrahim Bülbül (ORCID: https://orcid.org/0000-0002-6525-7232)
Institutions
- Gazi University (TR)
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