On challenges of AI to cognitive security and safety

Recent advances in deep learning have led to disruptive breakthroughs in artificial intelligence (AI), fueling the jump in ChatGPT-like large language models (LLMs). As with any emerging technology, it is a two-sided coin, bringing not only vast social impacts but also significant security concerns,...

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Main Authors: Huang Ruiyang, Zheng Xiaoqing, Shang Yuting, Xue Xiangyang
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:Security and Safety
Subjects:
Online Access:https://sands.edpsciences.org/articles/sands/full_html/2023/01/sands20230010/sands20230010.html
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author Huang Ruiyang
Zheng Xiaoqing
Shang Yuting
Xue Xiangyang
author_facet Huang Ruiyang
Zheng Xiaoqing
Shang Yuting
Xue Xiangyang
author_sort Huang Ruiyang
collection DOAJ
description Recent advances in deep learning have led to disruptive breakthroughs in artificial intelligence (AI), fueling the jump in ChatGPT-like large language models (LLMs). As with any emerging technology, it is a two-sided coin, bringing not only vast social impacts but also significant security concerns, especially in the socio-cognitive domain. Against this background, this work starts with an inherent mechanism analysis of cognitive domain games, from which it proceeds to explore the security concerns facing the cognitive domain as well as to analyze the formation mechanisms of a cognitive immune system. Finally, inspired by behavioral mimicry in biology, this work will elaborate on new approaches to cognitive security from three aspects: Mimicry Computing, Mimicry Defense, and Mimicry Intelligence.
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spelling doaj.art-b05549d755ef405d83605479aa827ae12023-12-02T09:51:29ZengEDP SciencesSecurity and Safety2826-12752023-01-012202301210.1051/sands/2023012sands20230010On challenges of AI to cognitive security and safetyHuang Ruiyang0Zheng Xiaoqing1Shang Yuting2Xue Xiangyang3https://orcid.org/0000-0002-4897-9209National Digital Switching System Engineering & Technological R&D CenterFudan UniversityFudan UniversityFudan UniversityRecent advances in deep learning have led to disruptive breakthroughs in artificial intelligence (AI), fueling the jump in ChatGPT-like large language models (LLMs). As with any emerging technology, it is a two-sided coin, bringing not only vast social impacts but also significant security concerns, especially in the socio-cognitive domain. Against this background, this work starts with an inherent mechanism analysis of cognitive domain games, from which it proceeds to explore the security concerns facing the cognitive domain as well as to analyze the formation mechanisms of a cognitive immune system. Finally, inspired by behavioral mimicry in biology, this work will elaborate on new approaches to cognitive security from three aspects: Mimicry Computing, Mimicry Defense, and Mimicry Intelligence.https://sands.edpsciences.org/articles/sands/full_html/2023/01/sands20230010/sands20230010.htmlcognitive securityartificial intelligenceendogenous safety and securitymimicry intelligence
spellingShingle Huang Ruiyang
Zheng Xiaoqing
Shang Yuting
Xue Xiangyang
On challenges of AI to cognitive security and safety
Security and Safety
cognitive security
artificial intelligence
endogenous safety and security
mimicry intelligence
title On challenges of AI to cognitive security and safety
title_full On challenges of AI to cognitive security and safety
title_fullStr On challenges of AI to cognitive security and safety
title_full_unstemmed On challenges of AI to cognitive security and safety
title_short On challenges of AI to cognitive security and safety
title_sort on challenges of ai to cognitive security and safety
topic cognitive security
artificial intelligence
endogenous safety and security
mimicry intelligence
url https://sands.edpsciences.org/articles/sands/full_html/2023/01/sands20230010/sands20230010.html
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