机器、心理学和假设生成：对 Banker 等人（2024 年）的评论。

IF 12.3 1区心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY

American Psychologist Pub Date : 2024-09-01 DOI:10.1037/amp0001258

Jonah Berger

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引用次数: 0

摘要

机器学习和人工智能的进步正在彻底改变人类生活的许多方面，正如Banker等人（2024年）所言，生成式人工智能也可以促进学术研究中的假设生成。不过，尽管很容易想象这一想法会引起一些恐慌（也就是说，假设生成似乎是研究中最具创造性、最人性化的部分），但他们的工作实际上提出了一个更重要的问题：我们为什么要相信目前（人类）提出假设的方法是最理想的？本文讨论了他们工作的意义，并概述了自动内容分析和机器学习如何帮助研究人员确定哪些假设首先值得关注。(PsycInfo Database Record (c) 2024 APA，保留所有权利）。

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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Machines, psychology, and hypothesis generation: Commentary on Banker et al. (2024).

Advances in machine learning and artificial intelligence are revolutionizing many aspects of human life, and as Banker et al. (2024) illustrate, generative artificial intelligence may also facilitate hypothesis generation in academic research. But while it is easy to imagine this idea generating some alarm (i.e., hypothesis generation may seem like the most creative, human part of research), their work actually raises an even more important question: Why should we believe that the current (human) method of hypothesis generation is somehow ideal in the first place? This article discusses the implications of their work and outlines how automated content analysis and machine learning can also help researchers determine what hypotheses deserve attention in the first place. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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来源期刊

American Psychologist PSYCHOLOGY, MULTIDISCIPLINARY-

CiteScore

18.50

自引率

1.20%

发文量

145

期刊介绍： Established in 1946, American Psychologist® is the flagship peer-reviewed scholarly journal of the American Psychological Association. It publishes high-impact papers of broad interest, including empirical reports, meta-analyses, and scholarly reviews, covering psychological science, practice, education, and policy. Articles often address issues of national and international significance within the field of psychology and its relationship to society. Published in an accessible style, contributions in American Psychologist are designed to be understood by both psychologists and the general public.