Artificial Intelligence in Financial Behavior: Bibliometric Ideas and New Opportunities DOI Open Access
Aliya Bayakhmetova, Lyudmila Rudenko, Lyubov V. Krylova

et al.

Journal of risk and financial management, Journal Year: 2025, Volume and Issue: 18(3), P. 159 - 159

Published: March 17, 2025

Artificial intelligence is transforming financial behavior and decision-making processes, offering new opportunities to optimize systems reduce bias. This study explores the intersection of AI using bibliometric analysis identify trends, gaps, emerging directions in this rapidly evolving field. A total 1019 documents are available Scopus for period 1987–2024. The articles analyzed Bibliometrix R package Bibliophagy graphical user interface. Key findings show a robust annual growth rate 13.34%, highlighting growing relevance topic. revealed central themes such as machine learning, decision-making, inclusion, along with critical gaps ethical considerations, regional disparities, practical applications marginalized populations. Leading contributors influential sources, including journals IEE Access Expert Systems Applications, were mapped understand intellectual structure highlights urgent need address mitigate algorithmic biases ensure fairness, transparency, outcomes AI-driven systems. It also importance improving literacy adapting tools fair inclusion. These insights provide roadmap future research innovation, ensuring that integrated into ethically effectively promote more inclusive global ecosystem.

Language: Английский

Artificial Intelligence in Financial Behavior: Bibliometric Ideas and New Opportunities DOI Open Access
Aliya Bayakhmetova, Lyudmila Rudenko, Lyubov V. Krylova

et al.

Journal of risk and financial management, Journal Year: 2025, Volume and Issue: 18(3), P. 159 - 159

Published: March 17, 2025

Artificial intelligence is transforming financial behavior and decision-making processes, offering new opportunities to optimize systems reduce bias. This study explores the intersection of AI using bibliometric analysis identify trends, gaps, emerging directions in this rapidly evolving field. A total 1019 documents are available Scopus for period 1987–2024. The articles analyzed Bibliometrix R package Bibliophagy graphical user interface. Key findings show a robust annual growth rate 13.34%, highlighting growing relevance topic. revealed central themes such as machine learning, decision-making, inclusion, along with critical gaps ethical considerations, regional disparities, practical applications marginalized populations. Leading contributors influential sources, including journals IEE Access Expert Systems Applications, were mapped understand intellectual structure highlights urgent need address mitigate algorithmic biases ensure fairness, transparency, outcomes AI-driven systems. It also importance improving literacy adapting tools fair inclusion. These insights provide roadmap future research innovation, ensuring that integrated into ethically effectively promote more inclusive global ecosystem.

Language: Английский

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