Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI and personal finance: evaluating rules of thumb generated by ChatGPT
0
Zitationen
2
Autoren
2025
Jahr
Abstract
Purpose The purpose of this article is to evaluate the information quality generated by ChatGPT on rules of thumb in personal finance. Design/methodology/approach Prompts were developed to ask ChatGPT questions regarding rules of thumb in personal finance. After several iterations, we selected seven rules of thumb and asked ChatGPT to provide more in-depth information. The information was evaluated by checking its accuracy and validity based on relevant peer-reviewed journal articles. Findings We found both advantages and limitations of using ChatGPT for information search. The advantages include its speed of information generation, width of topic generation, adaptivity to information demands, and provision of information sources. The limitations include the fact that the information may be fake, inaccurate, inappropriate, too general, or lacking academic journal sources. Originality/value This is the first attempt to use ChatGPT to generate relevant information regarding rules of thumb in personal finance, which provides experience and lessons for future researchers who will take similar approaches when conducting research.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.357 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.221 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.640 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.482 Zit.