Robotics & Machine Learning Daily News2024,Issue(Jun.21) :46-47.

New Artificial Intelligence Findings Reported from Missouri University of Scienc e and Technology (Ai Composer Bias: Listeners Like Music Less When They Think It Was Composed By an Ai)

密苏里科技大学最新的人工智能发现(人工智能作曲家偏见:当听众认为音乐是由人工智能创作的时候,他们就不太喜欢音乐)

Robotics & Machine Learning Daily News2024,Issue(Jun.21) :46-47.

New Artificial Intelligence Findings Reported from Missouri University of Scienc e and Technology (Ai Composer Bias: Listeners Like Music Less When They Think It Was Composed By an Ai)

密苏里科技大学最新的人工智能发现(人工智能作曲家偏见:当听众认为音乐是由人工智能创作的时候,他们就不太喜欢音乐)

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摘要

一位新闻记者-机器人与机器学习的新闻编辑-每日新闻-关于人工智能的研究结果在一份新的报告中讨论。根据NewsRx记者在密苏里州罗拉的新闻报道,研究表明,“使用人工智能(AI)作曲正成为主流。然而,有一种看法是,听众可能对人工智能有偏见。”这项研究的财政支持来自密苏里州科技情报系统中心。新闻记者从密苏里科技大学的研究中获得了一句话:“在这里,我们测试了一个假设,即如果听众认为音乐是人工智能创作的,他们就不会那么喜欢音乐。”参与者听了电子音乐和古典音乐的摘录,并对他们喜欢这些摘录的程度以及他们认为这些摘录是人工智能创作的还是人类创作的进行了评分。参与者更有可能将人工智能作曲家归因于电子音乐,而对他们认为由人工智能创作的音乐的喜爱程度较低。在研究2中,我们通过告诉参与者他们听到的音乐(电子音乐)是由人工智能或人类创作的,来巧妙地操纵作曲家的身份,但我们发现作曲家的身份对喜好没有影响。我们假设这是由于电子音乐的“我听起来”性质。因此,在研究3中,我们使用了一组“人类听起来”的古典音乐摘录。参与者喜欢所谓由人工智能创作的音乐Le SS。我们总结了人工智能作曲家偏见对理解艺术和美学处理理论中人工智能的感知的影响。公共意义声明人工智能(AI)-做出智能决策或模仿人类的计算机-正在使音乐行业发生革命。然而,人们对人工智能产生的音乐如何情感反应知之甚少。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Artificial Intell igence are discussed in a new report. According to news reporting originating in Rolla, Missouri, by NewsRx journalists, research stated, "The use of artificial intelligence (AI) to compose music is becoming mainstream. Yet, there is a conc ern that listeners may have biases against AIs." Financial support for this research came from Missouri S&T Intellig ent Systems Center. The news reporters obtained a quote from the research from the Missouri Universi ty of Science and Technology, "Here, we test the hypothesis that listeners will like music less if they think it was composed by an AI. In Study 1, participants listened to excerpts of electronic and classical music and rated how much they liked the excerpts and whether they thought they were composed by an AI or human . Participants were more likely to attribute an AI composer to electronic music and liked music less that they thought was composed by an AI. In Study 2, we dir ectly manipulated composer identity by telling participants that the music they heard (electronic music) was composed by an AI or by a human, yet we found no ef fect of composer identity on liking. We hypothesized that this was due to the ‘A I-sounding' nature of electronic music. Therefore, in Study 3, we used a set of ‘human-sounding' classical music excerpts. Here, participants liked the music le ss when it was purportedly composed by an AI. We conclude with implications of t he AI composer bias for understanding perception of AIs in arts and aesthetic pr ocessing theories more broadly. Public Significance Statement Artificial intelli gence (AI)-computers making intelligent decisions or emulating humans-is revolut ionizing the music industry. Yet, very little is known about how people emotiona lly respond to AI-generated music."

Key words

Rolla/Missouri/United States/North an d Central America/Artificial Intelligence/Emerging Technologies/Machine Learn ing/Missouri University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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