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<p>The widespread application of large language models (LLMs) has highlighted new security challenges and ethical concerns, attracting significant academic and societal attention. Analysis of the security vulnerabilities of LLMs and their misuse in cybercrime reveals that their advanced text-generation capabilities pose serious threats to personal privacy, data security, and information integrity. In addition, the effectiveness of current LLM-based defense strategies has been reviewed and evaluated. This paper examines the social implications of LLMs and proposes future directions for enhancing their security applications and ethical governance, aiming to inform the development of the field.</p>

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The ethical security of large language models: A systematic review

  • 期刊论文

  • 发表日期：

    2025年1月28日

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  • Feng Liu,
  • Jiaqi Jiang,
  • Yating Lu,
  • Zhanyi Huang,
  • Jiuming Jiang

摘要

The widespread application of large language models (LLMs) has highlighted new security challenges and ethical concerns, attracting significant academic and societal attention. Analysis of the security vulnerabilities of LLMs and their misuse in cybercrime reveals that their advanced text-generation capabilities pose serious threats to personal privacy, data security, and information integrity. In addition, the effectiveness of current LLM-based defense strategies has been reviewed and evaluated. This paper examines the social implications of LLMs and proposes future directions for enhancing their security applications and ethical governance, aiming to inform the development of the field.