The ethics and governance of Artifi cial Intelligence large language models

Zhihong Liu

Abstract


After the construction of large language artifi cial intelligence (AI) models and their provision as a social service, potential
risks quickly become real risks that aff ect our society. In the past, we have always responded to ethical and safety issues with AI in a reactive
manner, rather than proactively. As a result, we encounter some of the social problems brought about by large language AI models. This
paper aims to focus on the existing problems caused by large language AI models and promote the implementation of ethical and safety
governance.

Keywords


artificial intelligence, large language models, ethical security, governance.

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References


[1] Zero-experience - Four hours! Researchers Use ChatGPT to Build a VirusTotal Zero-Detection Steganography Malware� EB/OL�.http://www.hackdig.

com/04/hack-958424.htm, 2023-04-06

[2] https://www.darkreading.com/attacks-breaches/researcher-tricks-chatgpt-undetectable-steganography-malware

[3] https://www.forcepoint.com/blog/x-labs/zero-day-exfi ltration-using-chatgpt-prompts

[4] Nathan George. Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data[M]. Packt

Publishing Private Limited,2021

[5] Emergency! Trillion giant moves: Forbidden! [EB/OL]. https://new.qq.com/rain/a/20230502A05MGI00, 2023-05-02

[6] https://www.cs.purdue.edu/homes/ninghui/papers/ t_closeness_icde07.pdf




DOI: https://doi.org/10.18686/esta.v10i4.583

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