نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار گروه حسابداری، دانشگاه حضرت معصومه، قم، ایران،(
2 دانشیار گروه اقتصاد، دانشگاه علامه طباطبائی، تهران، ایران
چکیده
عنوان مقاله [English]
نویسندگان [English]
Objective
This study was conducted with the aim of providing a comprehensive and systematic examination of research pathways at the intersection of artificial intelligence and economics. Given the rapid growth of artificial intelligence technologies and their impacts on economic models and financial strategies, this research analyzes the opportunities and challenges in this field.
Method
In this study, the Knowledge Mapping method was employed, utilizing the Bibliometrix package in R software. Key topics and emerging trends in articles from the Scopus and Web of Science databases were identified, followed by a systematic review of the relevant scientific papers for a deeper analysis. The focus of the research was on exploring the applications of artificial intelligence in areas such as economic modeling, financial forecasting, portfolio optimization, and risk management.
Findings
Artificial intelligence holds significant potential in improving the accuracy, speed, and quality of economic analyses. However, challenges such as transparency in decision-making processes, reliance on high-quality data, and the interpretability limitations of models are among the main barriers to the development of its applications in economics.
Conclusion
This study suggests future research pathways, including the development of more transparent models, the creation of new evaluation frameworks for AI reliability, and expanding access to trustworthy data. The findings could help researchers and professionals better understand the opportunities and challenges, enabling them to pursue innovative research paths in this field.
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