ChatGPT is a Breakthrough in Science and Education but Fails a Test in Sports and Exercise Psychology

A. Szabó
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引用次数: 7

Abstract

Released less than fve months ago, ChatGPT became the center of attention of scholars worldwide. This artifcial intelligence (AI) language model has over 100 million subscribers worldwide, generating many discussions concerning its accuracy, advantages, and threats to science and education. Its accuracy in law, linguistics, mathematics, and medicine has already been evaluated. Most results suggest that ChatGPT could generate a passing grade in these domains. However, its performance in sports science and psychology has yet to be tested. The large amount of information in this general area may yield more accurate performance. Still, specifc subjects in the feld, with controversial research fndings, can lead to signifcant errors, which teachers and researchers could quickly spot. In this study, ChatGPT was tested on its accuracy on exercise addiction, a sports science and psychology subject associated with more than 1,000 publications. ChatGPT gave several correct answers to 20 questions but failed the test with 45%. Its performance was like in other already tested subjects. However, when prompted to write a general introductory editorial on AI’s role in sports, ChatGPT performed well. Plagiarism detectors could not identify the AI-originated text, but AI detectors did. Therefore, it can be concluded that the system does a relatively good job on general issues but needs further development in more specifc areas. Students and scholars cannot rely on ChatGPT to do their job. Still, future versions could yield dilemmas of originality since the system does not provide information for its source(s) of information. Keywords: artifcial intelligence; computers, information; language model; plagiarism.
ChatGPT是科学和教育上的突破,但在运动和运动心理学上却没有通过测试
ChatGPT发布不到5个月,就成为全球学者关注的焦点。这种人工智能(AI)语言模型在全球拥有超过1亿用户,引发了关于其准确性、优势以及对科学和教育的威胁的许多讨论。它在法律、语言学、数学和医学上的准确性已经得到了评估。大多数结果表明,ChatGPT可以在这些领域产生及格分数。然而,它在运动科学和心理学方面的表现还有待检验。这一领域的大量信息可能会产生更准确的性能。尽管如此,该领域的特定学科,以及有争议的研究结果,可能会导致重大错误,而教师和研究人员很快就会发现这些错误。在这项研究中,ChatGPT测试了其在运动成瘾方面的准确性,运动成瘾是一门与1000多篇出版物相关的运动科学和心理学学科。ChatGPT对20个问题给出了几个正确答案,但以45%的得票率未能通过测试。它的表现和其他已经测试过的对象一样。然而,当被要求写一篇关于人工智能在体育中的作用的介绍性社论时,ChatGPT表现得很好。抄袭探测器无法识别人工智能生成的文本,但人工智能探测器做到了。因此,可以得出结论,该制度在一般性问题上做得比较好,但在更具体的领域需要进一步发展。学生和学者不能依靠ChatGPT来完成他们的工作。尽管如此,未来的版本可能会产生原创性的困境,因为系统不提供信息来源的信息。关键词:人工智能;计算机、信息;语言模型;剽窃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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