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    Bibliometric Analysis of Math and Artificial Intelligence Research
    (Uğur ŞEN, 2025) Uzan, Şeyma Bozkurt; Mutlu, Nesibe Manav; İrem Deniz Arberk
    This study conducts a comprehensive bibliometric analysis to explore the landscape of research in mathematics and artificial intelligence (AI). Using Scopus as the primary data source, we identify key publications and trends in these fields. Through VOSviewer, we visualize networks of keywords and collaborations among researchers and institutions. The analysis reveals the prominence of topics such as AI and mathematics in academic discourse, as well as the central role played by countries like the United States, the United Kingdom, and China in research collaboration. Limitations include potential biases in data sources and the reliance on keywords for analysis. Future research could integrate alternative metrics and qualitative analyses to provide a more nuanced understanding of research trends and impact.
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    From Past to Present: Philosophical Reflections on AI with a SWOT Approach
    (2024) Uzan, Şeyma Bozkurt
    Artificial intelligence (AI) has become a transformative force in the technological world, reshaping various aspects of human life and raising profound philosophical questions. This article explores the intersection of AI and philosophy by conducting a comprehensive literature review and SWOT analysis of 20 significant articles. The study aims to understand how AI influences philosophical debates on ethics, consciousness, intelligence, and human nature. The findings reveal key strengths, weaknesses, opportunities, and threats associated with the current literature. Notable strengths include the foundational impact of highly cited works and the diverse range of topics covered. However, some articles face limitations due to outdated theories or limited practical integration. The study underscores the need for ethical frameworks in AI development and highlights areas for future research, particularly in addressing social justice and equity. By synthesizing existing knowledge, this paper offers new insights into the ethical, social, and philosophical dimensions of AI, providing a solid foundation for future research and policy development.