Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Is ChatGPT Better at Business Consulting than an Experienced Human Analyst? An Experimental Comparison of Solutions to a Strategic Business Problem
0
Zitationen
2
Autoren
2023
Jahr
Abstract
Given the level of continued technological progress, AI language models have been the subject of enormous media attention. The popularity of such models skyrocketed in November 2022 with the introduction of the ChatGPT application. The impact of AI language models on areas such as research, healthcare and business is constantly being evaluated. However, an issue in which there is a clear research gap is the use of ChatGPT for business decision-making purposes. The aim of this article is, therefore, to investigate whether ChatGPT can be leveraged to make strategic business decisions. The methodology compares three paths towards a case for a strategic business decision by means of a checklist-based score: one conducted by a human alone; the second taken purely by ChatGPT with as little human interaction as possible; and third, the centaur model, where a human actively interacts with ChatGPT and asks critical questions. The findings were twofold. Firstly, ChatGPT is still far from being considered a quality business consultant in itself. Secondly, however, AI turned out to be extremely helpful in terms of creating a decision-making path. Hence, humans may leverage the information provided by ChatGPT to gain helpful insights for better business decision making.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.339 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.211 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.614 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 · 5.478 Zit.