AIGC challenges and opportunities related to public safety: A case study of ChatGPT

IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 安全科学与韧性(英文) Pub Date : 2023-08-26 DOI:10.1016/j.jnlssr.2023.08.001
Danhuai Guo , Huixuan Chen , Ruoling Wu , Yangang Wang
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引用次数: 5

Abstract

Artificial intelligence generated content (AIGC) is a production method based on artificial intelligence (AI) technology that finds rules through data and automatically generates content. In contrast to computational intelligence, generative AI, as exemplified by ChatGPT, exhibits characteristics that increasingly resemble human-level comprehension and creation processes. This paper provides a detailed technical framework and history of ChatGPT, followed by an examination of the challenges posed to political security, military security, economic security, cultural security, social security, ethical security, legal security, machine escape problems, and information leakage. Finally, this paper discusses the potential opportunities that AIGC presents in the realms of politics, military, cybersecurity, society, and public safety education.

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AIGC与公共安全相关的挑战和机遇:以ChatGPT为例
人工智能生成内容(AIGC)是以人工智能(AI)技术为基础,通过数据发现规则,自动生成内容的生产方法。与计算智能相比,以ChatGPT为例的生成式人工智能表现出越来越类似于人类水平的理解和创造过程的特征。本文提供了详细的技术框架和ChatGPT的历史,随后考察了ChatGPT对政治安全、军事安全、经济安全、文化安全、社会安全、伦理安全、法律安全、机器逃逸问题和信息泄露带来的挑战。最后,本文讨论了AIGC在政治、军事、网络安全、社会和公共安全教育领域所呈现的潜在机会。
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来源期刊
安全科学与韧性(英文)
安全科学与韧性(英文) Management Science and Operations Research, Safety, Risk, Reliability and Quality, Safety Research
CiteScore
8.70
自引率
0.00%
发文量
0
审稿时长
72 days
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