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在高校设计学科教学改革方面，相关法案提到了对人工智能领域的支持，包括支持跨学科研究、教育和培训项目，以促进学生和研究人员在人工智能方法和系统方面的学习，并培养相关领域专家的跨学科视角和合作。同时，在高等教育中，有人认为大型语言模型（LLMs）可能会对其产生显著的积极影响，特别是提升人文学科的重要性。LLMs 具有深度且内在的文本属性，与大学人文学科课程所强调的技能和方法直接相关。此外，还有法案涉及推动机器学习的发展，支持跨多个机构和组织的人工智能及相关学科的跨学科研究和开发。
(9)MACHINELEARNING.—The(b)INITIATIVE ACTIVITIES.—In carrying out the Ini-(4)Support for interdisciplinary research,edu-8cation,and training programs for students and re-9searchers that promote learning in the methods and10systems used in artificial intelligence and foster11interdisciplinary perspectives and collaborations12among subject matter experts in relevant fields,in-13cluding computer science,mathematics,statistics,14engineering,social sciences,psychology,behavioral15science,ethics,security,legal scholarship,and other16disciplines that will be necessary to advance artificial17intelligence research and development responsibly.18
[title]教育：一个历史老师用GPT给学生讲课[heading3]Teaching will get weirder — and that’s probably aIn the long term,I suspect that LLMs will have a significant positive impact on higher education.Specifically,I believe they will elevate the importance of the humanities.If this happens,it will be a shocking twist.We’ve been hearing for over a decade now that the humanities are in crisis.When faced with raw data about declining enrollments and majors like[this](https://www.theatlantic.com/ideas/archive/2018/08/the-humanities-face-a-crisisof-confidence/567565/)and[this](https://www.newyorker.com/magazine/2023/03/06/the-end-of-the-english-major),it is difficult not to agree.From the perspective of a few years ago,then,the advent of a new wave of powerful AI tools would be expected to tip the balance of power,funding,and enrollment in higher education even further toward STEM and away from the humanities.But the thing is:LLMs are deeply,inherently textual.And they are reliant on text in a way that is directly linked to the skills and methods that we emphasize in university humanities classes.What do I mean by that?One of the hallmarks of training in history is learning how to think about a given text at increasingly higher levels of abstraction.We teach students how to analyze the genre,cultural context,assumptions,and affordances of a primary source — the unspoken limits that shaped how,why,and for whom it was created,and what content it contains.
(9)MACHINELEARNING.—The(B)describes how the agencies carrying(viii)in consultation with the Council(4)in carrying out this section,take into con-(b)FINANCIAL ASSISTANCE TO ESTABLISH(2)ARTIFICIALINTELLIGENCE INSTITUTES.—(D)supports interdisciplinary research and16development across multiple institutions and or-17ganizations involved in artificial intelligence re-18search and related disciplines,including phys-19ics,engineering,mathematical sciences,com-20puter and information science,robotics,biologi-21cal and cognitive sciences,material science,so-22cial and behavioral sciences,cybersecurity,and23technology ethics;24VerDate Sep 11 2014 23:31 Mar 25,2020 Jkt 099200 PO 00000 Frm 00024 Fmt 6652 Sfmt 6201 E:\BILLS\H6216.IH H6216p amtmann on DSKBC07HB2PROD with BILLS25•HR 6216 IH