On challenges of AI to cognitive security and safety

  • Huang R
  • Zheng X
  • Shang Y
  • et al.
N/ACitations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Huang, R., Zheng, X., Shang, Y., & Xue, X. (2023). On challenges of AI to cognitive security and safety. Security and Safety, 2, 2023012. https://doi.org/10.1051/sands/2023012

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free