A Study on the U.S. White House Executive Order on Artificial Intelligence from the Perspective of Systemic-Functional Grammar

Hongyu Zhang

doi:10.54254/2753-7048/55/20240070

Research Article

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Published on 24 June 2024

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Zhang,H. (2024). A Study on the U.S. White House Executive Order on Artificial Intelligence from the Perspective of Systemic-Functional Grammar. Lecture Notes in Education Psychology and Public Media,55,86-92.

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A Study on the U.S. White House Executive Order on Artificial Intelligence from the Perspective of Systemic-Functional Grammar

Hongyu Zhang *^,1,

¹ University of Electronic Science and Technology of China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-7048/55/20240070

Abstract

In November 2023, the White House of the United States introduced relevant laws and regulations about AI. The regulation of artificial intelligence is the inevitable result of social development and the inevitable trend of technological development. Other counties’ domestic regulation of artificial intelligence-related laws and regulations has not yet been carried out. This paper analyzes American AI executive order from keywords, transitivity, modality, and cohesion by using Systemic Functional Grammar theory. Understanding the important contents and characteristics of the U.S. executive order on artificial intelligence can provide a reference for the formulation of other countries’ artificial intelligence-related administrative regulations and laws, which finally promote the development of international artificial intelligence law.

Keywords

Artificial Intelligence, Systemic-Functional Grammar, Executive Order, Corpora

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References

[1]. Halliday, M. (2003). On Language and Linguistics (edited by Jonathan Webster) [M]. London:Continuum, 29.

[2]. Halliday, M. (2004). Introduction to Functional Grammar [M]. New York:Oxford. University Press Inc, 15, 30, 128, 147, 149, 170, 356.

[3]. The White House (Ed.) (2023). Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. The White House.

[4]. Jiajing Ai. A corpus-based lexical comparison study of United Nations human rights treaties and British domestic law [D]. East China University of Political Science and Law, 2022.

[5]. Liuyin Wu. Critical discourse analysis of news reports on the Belt and Road Initiative in Chinese and American newspapers[D]. Zhejiang University, 2018.

[6]. Bochao Zhang. Analysis of the content and revelation of U.S. generative artificial intelligence regulatory provisions[J]. Shanghai Informatization, 2024, (01):50-52.

[7]. Shuqi Ye. Research on Translation of Academic Writings under the Guidance of Discourse Cohesion Theory[D]. East China University of Political Science and Law, 2023.

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About volume

Volume title: Proceedings of the 3rd International Conference on International Law and Legal Policy

Conference website: https://www.icillp.org/

ISBN：978-1-83558-473-6(Print) / 978-1-83558-474-3(Online)

Conference date: 27 September 2024

Editor：Renuka Thakore

Series: Lecture Notes in Education Psychology and Public Media

Volume number: Vol.55

ISSN：2753-7048(Print) / 2753-7056(Online)

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