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Computer Science > Cryptography and Security

arXiv:2407.03453 (cs)
[Submitted on 3 Jul 2024]

Title:On Large Language Models in National Security Applications

Authors:William N. Caballero, Phillip R. Jenkins
View a PDF of the paper titled On Large Language Models in National
Security Applications, by William N. Caballero and Phillip R. Jenkins
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    Abstract:The overwhelming success of GPT-4 in early 2023
    highlighted the transformative potential of large language models
    (LLMs) across various sectors, including national security. This
    article explores the implications of LLM integration within
    national security contexts, analyzing their potential to
    revolutionize information processing, decision-making, and
    operational efficiency. Whereas LLMs offer substantial benefits,
    such as automating tasks and enhancing data analysis, they also
    pose significant risks, including hallucinations, data privacy
    concerns, and vulnerability to adversarial attacks. Through their
    coupling with decision-theoretic principles and Bayesian
    reasoning, LLMs can significantly improve decision-making
    processes within national security organizations. Namely, LLMs
    can facilitate the transition from data to actionable decisions,
    enabling decision-makers to quickly receive and distill available
    information with less manpower. Current applications within the
    US Department of Defense and beyond are explored, e.g., the
    USAF's use of LLMs for wargaming and automatic summarization,
    that illustrate their potential to streamline operations and
    support decision-making. However, these applications necessitate
    rigorous safeguards to ensure accuracy and reliability. The
    broader implications of LLM integration extend to strategic
    planning, international relations, and the broader geopolitical
    landscape, with adversarial nations leveraging LLMs for
    disinformation and cyber operations, emphasizing the need for
    robust countermeasures. Despite exhibiting "sparks" of artificial
    general intelligence, LLMs are best suited for supporting roles
    rather than leading strategic decisions. Their use in training
    and wargaming can provide valuable insights and personalized
    learning experiences for military personnel, thereby improving
    operational readiness.

Comments: 20 pages
Subjects: Cryptography and Security (cs.CR); Computers and Society
          (cs.CY); Machine Learning (cs.LG); Applications (stat.AP)
MSC       62P99
classes:
Cite as:  arXiv:2407.03453 [cs.CR]
          (or arXiv:2407.03453v1 [cs.CR] for this version)
          https://doi.org/10.48550/arXiv.2407.03453
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: William Caballero [view email]
[v1] Wed, 3 Jul 2024 18:53:22 UTC (110 KB)
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