Cognitive Warfare Indicators and Warnings Identification
Framework

D 2025

Cognitive Warfare Indicators and Warnings Identification Framework

BURDA, Robin; Meghan FITZPATRICK; Paul Magnus Bjertvik BUVARP; Gregory SEESE; Danika BROWN et al.

Základní údaje

Originální název

Cognitive Warfare Indicators and Warnings Identification Framework

Autoři

BURDA, Robin; Meghan FITZPATRICK; Paul Magnus Bjertvik BUVARP; Gregory SEESE a Danika BROWN

Vydání

Amsterdam, Meaningful Human Control in Information Warfare, od s. 1-20, 20 s. 2025

Nakladatel

NATO STO

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50601 Political science

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Označené pro přenos do RIV

Organizační jednotka

Fakulta sociálních studií

ISBN

978-92-837-2577-0

DOI

https://doi.org/10.14339/STO-MP-HFM-377-09-PDF

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 5. 1. 2026 17:45, Mgr. Blanka Farkašová

Anotace

V originále

Cognitive Warfare (CogWar) is an emerging concept, yet already hotly contested across NATO nations and partner states. CogWar is enabled primarily by advancements in technology, artificial intelligence (AI), as well as new knowledge developed in the social sciences. The speed with which such operations can reach target audiences requires fast identification of these attacks to allow for an adequate response. Without using cutting-edge AI algorithms, ensemble learning methods, and large-language models (LLMs), indicators and warnings (I&W) solutions cannot compete with CogWar operations. A potential issue with AI-enabled solutions for I&W is a lack of transparency and fine-tuning. The SAS-185 team, examining Indicators and Warnings for Cognitive Warfare in Cyberspace, is now developing a framework to identify quantifiable (and/or LLM-enabled) indicators of Cognitive Attacks and CogWar operations for use in future software solutions. Such a framework can keep a system transparent thanks to the known inputs. Furthermore, while LLMs are still unable to create new knowledge, human researchers and practitioners will hopefully be able to use this framework to anticipate future uses of CogWar and update relevant I&W software pre-emptively. SAS-185 uses an existing morphological analysis method to construct CogWar-relevant scenarios, which can in turn, be used to identify potential indicators. A considerable body of literature in intelligence studies deals with I&W and early warning systems that will be utilized to develop a coherent framework using scenarios as a basis for indicators for Cognitive Warfare. The proposed framework is a critical step in feeding and updating a potential AI-enabled solution to identify adversarial CogWar.

Citovat

BURDA, Robin; Meghan FITZPATRICK; Paul Magnus Bjertvik BUVARP; Gregory SEESE a Danika BROWN. Cognitive Warfare Indicators and Warnings Identification Framework. Online. In Meaningful Human Control in Information Warfare. Amsterdam: NATO STO, 2025, s. 1-20. ISBN 978-92-837-2577-0. Dostupné z: https://doi.org/10.14339/STO-MP-HFM-377-09-PDF.

@inproceedings{2491917,
   author = {Burda, Robin and Fitzpatrick, Meghan and Buvarp, Paul Magnus Bjertvik and Seese, Gregory and Brown, Danika},
   address = {Amsterdam},
   booktitle = {Meaningful Human Control in Information Warfare},
   doi = {https://doi.org/10.14339/STO-MP-HFM-377-09-PDF},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Amsterdam},
   isbn = {978-92-837-2577-0},
   pages = {1-20},
   publisher = {NATO STO},
   title = {Cognitive Warfare Indicators and Warnings Identification Framework},
   url = {https://publications.sto.nato.int/publications/STO%20Meeting%20Proceedings/STO-MP-HFM-377/MP-HFM-377-09.pdf},
   year = {2025}
}

TY  - CONF
ID  - 2491917
AU  - Burda, Robin - Fitzpatrick, Meghan - Buvarp, Paul Magnus Bjertvik - Seese, Gregory - Brown, Danika
PY  - 2025
TI  - Cognitive Warfare Indicators and Warnings Identification Framework
PB  - NATO STO
CY  - Amsterdam
SN  - 9789283725770
UR  - https://publications.sto.nato.int/publications/STO%20Meeting%20Proceedings/STO-MP-HFM-377/MP-HFM-377-09.pdf
N2  - Cognitive Warfare (CogWar) is an emerging concept, yet already hotly contested across NATO nations and partner states. CogWar is enabled primarily by advancements in technology, artificial intelligence (AI), as well as new knowledge developed in the social sciences. The speed with which such operations can reach target audiences requires fast identification of these attacks to allow for an adequate response. Without using cutting-edge AI algorithms, ensemble learning methods, and large-language models (LLMs), indicators and warnings (I&W) solutions cannot compete with CogWar operations. A potential issue with AI-enabled solutions for I&W is a lack of transparency and fine-tuning. The SAS-185 team, examining Indicators and Warnings for Cognitive Warfare in Cyberspace, is now developing a framework to identify quantifiable (and/or LLM-enabled) indicators of Cognitive Attacks and CogWar operations for use in future software solutions. Such a framework can keep a system transparent thanks to the known inputs. Furthermore, while LLMs are still unable to create new knowledge, human researchers and practitioners will hopefully be able to use this framework to anticipate future uses of CogWar and update relevant I&W software pre-emptively. SAS-185 uses an existing morphological analysis method to construct CogWar-relevant scenarios, which can in turn, be used to identify potential indicators. A considerable body of literature in intelligence studies deals with I&W and early warning systems that will be utilized to develop a coherent framework using scenarios as a basis for indicators for Cognitive Warfare. The proposed framework is a critical step in feeding and updating a potential AI-enabled solution to identify adversarial CogWar.
ER  -

BURDA, Robin; Meghan FITZPATRICK; Paul Magnus Bjertvik BUVARP; Gregory SEESE a Danika BROWN. Cognitive Warfare Indicators and Warnings Identification Framework. Online. In \textit{Meaningful Human Control in Information Warfare}. Amsterdam: NATO STO, 2025, s.~1-20. ISBN~978-92-837-2577-0. Dostupné z: https://doi.org/10.14339/STO-MP-HFM-377-09-PDF.

Přehled o publikaci