Investigating AI languages’ ability to solve undergraduate finance problems
Changyu Yang, Adam Stivers
Abstract
The rapid advancement of artificial intelligence (AI) has given rise to sophisticated language models that excel in understanding and generating human-like text. With the capacity to process vast amounts of information, these models effectively tackle problems across diverse domains. In this paper, we present a comparative analysis of prominent AI language models—ChatGPT and Google Bard—focusing on their ability to solve undergraduate finance problems. We find that GPT-4 significantly outperforms Bard-1.0, excelling in easy problems but struggling with complex ones. The results suggest that it is crucial to handle AI with care in order to uphold academic integrity.
Topics & Concepts
Order (exchange)Computer scienceProcess (computing)Artificial intelligenceWork (physics)ManagementData scienceFinanceEngineeringBusinessEconomicsProgramming languageMechanical engineeringAI in Service InteractionsArtificial Intelligence in Healthcare and EducationFinTech, Crowdfunding, Digital Finance