Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Assessing the Alignment of AI-Generated Evaluations with Human Judgment: A Case Study in an Entrepreneurship Pitch Competition

Version 1 : Received: 30 January 2024 / Approved: 31 January 2024 / Online: 31 January 2024 (10:59:08 CET)

How to cite: Rao, S. Assessing the Alignment of AI-Generated Evaluations with Human Judgment: A Case Study in an Entrepreneurship Pitch Competition. Preprints 2024, 2024012211. https://doi.org/10.20944/preprints202401.2211.v1 Rao, S. Assessing the Alignment of AI-Generated Evaluations with Human Judgment: A Case Study in an Entrepreneurship Pitch Competition. Preprints 2024, 2024012211. https://doi.org/10.20944/preprints202401.2211.v1

Abstract

Amidst the rapid advancements in artificial intelligence (AI) applications, determining the alignment between AI evaluations and human judgment remains crucial, especially in sectors like finance, healthcare, and education. This study delves into a unique scenario—a teenage entrepreneur pitch competition, mirroring real-world challenges faced by these young innovators. The objective was to assess the congruence between evaluations by ChatGPT, an AI model, and human judges. The results indicate a remarkable alignment between AI and human evaluations across several criteria. The implications of this study are far-reaching, highlighting AI's potential in ensuring unbiased and reliable evaluations in pitch competitions and beyond. However, navigating the juncture of AI and human judgment mandates continued research and ethical considerations.

Keywords

AI evaluations; Human judgment; Pitch competition; ChatGPT; Entrepreneurial evaluations

Subject

Social Sciences, Other

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