朝着个性化的人工智能助手学习机器学习

IF 18.8 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Pascal Wallisch, Ibrahim Sheikh
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引用次数: 0

摘要

2022年末,OpenAI的ChatGPT等生成式人工智能工具的引入和迅速普及,极大地影响了教育领域。许多学生——也许是大多数——现在经常在课程作业中使用ChatGPT和类似的模型。在我们在纽约大学(NYU)教授的课程中,超过90%的本科生和硕士生在2023年报告使用大型语言模型(llm),到2024年上升到95%以上。例如,法学硕士课程在私人助理领域的广泛应用,有望为学习带来巨大的好处。然而,它们也可能被证明是有害的。一个担忧是,这些人工智能工具可能会取代学习。例如,生成式人工智能工具可以为学生编写代码或论文,而不是学生自己学习如何编写代码或论文。如果生成式人工智能工具通过减少学生花在学习材料上的时间来减少勤奋,那么由此产生的学习效果可能会大幅下降。使用基于llm的工具进行学习的另一个关键问题是,它们是在庞大的、有时是不可靠的文本语料库上训练的,并且以概率方式进行响应。这使得“幻觉”——矛盾的、不准确的或错误的输出——不可避免。由于学生们可能受到法学硕士课程自信基调的影响,往往只从表面上接受这些输出,幻觉对学习本身的完整性构成了威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Towards a personalized AI assistant to learn machine learning

Towards a personalized AI assistant to learn machine learning

Towards a personalized AI assistant to learn machine learning
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来源期刊
CiteScore
36.90
自引率
2.10%
发文量
127
期刊介绍: Nature Machine Intelligence is a distinguished publication that presents original research and reviews on various topics in machine learning, robotics, and AI. Our focus extends beyond these fields, exploring their profound impact on other scientific disciplines, as well as societal and industrial aspects. We recognize limitless possibilities wherein machine intelligence can augment human capabilities and knowledge in domains like scientific exploration, healthcare, medical diagnostics, and the creation of safe and sustainable cities, transportation, and agriculture. Simultaneously, we acknowledge the emergence of ethical, social, and legal concerns due to the rapid pace of advancements. To foster interdisciplinary discussions on these far-reaching implications, Nature Machine Intelligence serves as a platform for dialogue facilitated through Comments, News Features, News & Views articles, and Correspondence. Our goal is to encourage a comprehensive examination of these subjects. Similar to all Nature-branded journals, Nature Machine Intelligence operates under the guidance of a team of skilled editors. We adhere to a fair and rigorous peer-review process, ensuring high standards of copy-editing and production, swift publication, and editorial independence.
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