不要对错误的人工智能时尚趋之若鹜

IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Mark Buchanan
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引用次数: 0

摘要

科学进程是抵御人类理性弱点的一道屏障。它是混乱的、不确定的,本质上也是社会性的,因为只有在众多思想的互动中才能产生更好的想法。不幸的是,这种社会性也可能成为一个问题,因为就像其他人类事业一样,时尚也会影响科学的发展轨迹。普林斯顿大学的计算机科学家阿尔文德-纳拉亚南(Arvind Narayanan)和萨亚什-卡普尔(Sayash Kapoor)在最近的一篇网络文章中指出了一个令人担忧的趋势,一组图表展示了最近人工智能方法在各个科学领域的应用情况。在艺术、生物、工程、商业和医学等领域,人工智能研究论文的数量在过去三到五年间以 "曲棍球 "的模式急剧上升。当然,科学方法是会改变的,当新技术投入使用时,实践有时也会迅速改变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Don’t flock to faulty AI fashion

Don’t flock to faulty AI fashion
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来源期刊
Nature Physics
Nature Physics 物理-物理:综合
CiteScore
30.40
自引率
2.00%
发文量
349
审稿时长
4-8 weeks
期刊介绍: Nature Physics is dedicated to publishing top-tier original research in physics with a fair and rigorous review process. It provides high visibility and access to a broad readership, maintaining high standards in copy editing and production, ensuring rapid publication, and maintaining independence from academic societies and other vested interests. The journal presents two main research paper formats: Letters and Articles. Alongside primary research, Nature Physics serves as a central source for valuable information within the physics community through Review Articles, News & Views, Research Highlights covering crucial developments across the physics literature, Commentaries, Book Reviews, and Correspondence.
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