Security, Privacy, and Ethical Challenges of Artificial Intelligence in Large Language Model Scope: A Comprehensive Survey

Artificial intelligence (AI) models like ChatGPT and LLama have changed how we understand and create human-like language. They understand language well, can generate text like a person, know the context, and solve problems effectively. This makes them useful in many areas like search engines, customer service, and translation. Recently, these models have also caught the attention of the security field, uncovering weaknesses in security and proving useful for security tasks. This paper offers an extensive review of the security, privacy, and ethical issues associated with AI, focusing on LLMs and their impact on various domains. We explore the vulnerabilities of LLMs, propose poten-tial defense mechanisms, and highlight the broader implications of AI on human society. This survey intends to offer a clear perspective for researchers and practitioners, and policymakers on responsibly developing and deploying AI technologies.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/vcris63677.2024.10813382
Citations
2
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.69
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article

Security, Privacy, and Ethical Challenges of Artificial Intelligence in Large Language Model Scope: A Comprehensive Survey

Huyen Thi Thanh Vu, Hoa N. Nguyen, Tuyen T. Nguyen
2 citations
Privacy-Preserving Technologies in Data
0.69
article

Security, Privacy, and Ethical Challenges of Artificial Intelligence in Large Language Model Scope: A Comprehensive Survey

Huyen Thi Thanh Vu, Hoa N. Nguyen, Tuyen T. Nguyen
article en
2 citations

Abstract

Artificial intelligence (AI) models like ChatGPT and LLama have changed how we understand and create human-like language. They understand language well, can generate text like a person, know the context, and solve problems effectively. This makes them useful in many areas like search engines, customer service, and translation. Recently, these models have also caught the attention of the security field, uncovering weaknesses in security and proving useful for security tasks. This paper offers an extensive review of the security, privacy, and ethical issues associated with AI, focusing on LLMs and their impact on various domains. We explore the vulnerabilities of LLMs, propose poten-tial defense mechanisms, and highlight the broader implications of AI on human society. This survey intends to offer a clear perspective for researchers and practitioners, and policymakers on responsibly developing and deploying AI technologies.

The State Bank of Vietnam (VN), VNU University of Science (VN)
Openalex Percentile: Top 22%
Privacy-Preserving Technologies in Data
0.69
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Security, Privacy, and Ethical Challenges of Artificial Intelligence in Large Language Model Scope: A Comprehensive Survey — Huyen Thi Thanh Vu, Hoa N. Nguyen, et al. · (2024) | TGRS Research Map | TGRS