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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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | Security and Safety |
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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. |
first_indexed | 2024-03-09T09:07:22Z |
format | Article |
id | doaj.art-b05549d755ef405d83605479aa827ae1 |
institution | Directory Open Access Journal |
issn | 2826-1275 |
language | English |
last_indexed | 2024-03-09T09:07:22Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | Security and Safety |
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 |
work_keys_str_mv | AT huangruiyang onchallengesofaitocognitivesecurityandsafety AT zhengxiaoqing onchallengesofaitocognitivesecurityandsafety AT shangyuting onchallengesofaitocognitivesecurityandsafety AT xuexiangyang onchallengesofaitocognitivesecurityandsafety |