Issue |
Security and Safety
Volume 2, 2023
Security and Safety in the "Metaverse"
|
|
---|---|---|
Article Number | 2023012 | |
Number of page(s) | 13 | |
Section | Other Fields | |
DOI | https://doi.org/10.1051/sands/2023012 | |
Published online | 30 June 2023 |
Views
On challenges of AI to cognitive security and safety
1
National Digital Switching System Engineering & Technological R&D Center, Zhengzhou, 450002, China
2
Fudan University, Shanghai, 200433, China
* Corresponding authors (email: xyxue@fudan.edu.cn)
Received:
6
April
2022
Revised:
30
April
2023
Accepted:
30
April
2023
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.
Key words: Cognitive security / Artificial intelligence / Endogenous safety and security / Mimicry intelligence
Citation: Huang RY, Zheng ZQ, Shang YT, et al. On challenges of AI to cognitive security and safety. Security and Safety 2023; 2: 2023012. https://doi.org/10.1051/sands/2023012
© The Author(s) 2023. Published by EDP Sciences and China Science Publishing & Media Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.