Application of AI Technology in Mergers & Acquisitions and  Its Regulation

Yongke Li

doi:10.54254/2754-1169/11/20230502

Research Article

Open access

Published on 13 September 2023

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Li,Y. (2023). Application of AI Technology in Mergers & Acquisitions and Its Regulation. Advances in Economics, Management and Political Sciences,11,32-38.

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Application of AI Technology in Mergers & Acquisitions and Its Regulation

Yongke Li *^,1,

¹ The Affiliated High School of South China Normal University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/11/20230502

Abstract

Applying Artificial Intelligence (AI) brings more possibilities to the Mergers and Acquisitions (M&A) process. However, with the high development of AI, its safety and ethical consequences are gradually emerging. This paper adopts the case analysis method and uses AI's specific application in the due diligence process as an example to analyze the legal risks of its program testing environment, data extraction security, and error tolerance rate. Also, this paper will use contrastive analysis and documentary analysis to explore the legal gaps and prospects of AI in M&A by taking the EU's AI Ethical guidelines, the AI Act, and Guidance for Regulation of Artificial Intelligence Applications from the US as examples, analyzing the regulatory directions and regulations for M&A.

Keywords

Mergers and Acquisitions, Artificial Intelligence, legal supervision and management

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References

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Cite this article

Li,Y. (2023). Application of AI Technology in Mergers & Acquisitions and Its Regulation. Advances in Economics, Management and Political Sciences,11,32-38.

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About volume

Volume title: Proceedings of the 2nd International Conference on Business and Policy Studies

Conference website: https://2023.confbps.org/

ISBN：978-1-915371-49-2(Print) / 978-1-915371-50-8(Online)

Conference date: 26 February 2023

Editor：Canh Thien Dang, Javier Cifuentes-Faura

Series: Advances in Economics, Management and Political Sciences

Volume number: Vol.11

ISSN：2754-1169(Print) / 2754-1177(Online)

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