ClausewitzGPT Framework: A New Frontier in Theoretical Large Language Model Enhanced Information Operations
Benjamin Kereopa-Yorke

TL;DR
This paper introduces ClausewitzGPT, a framework inspired by military strategy principles, to assess risks and ethical considerations in AI-augmented information operations using large language models.
Contribution
It formulates a novel, mathematically grounded framework for understanding and managing risks in AI-driven information campaigns, emphasizing ethical autonomous AI agents.
Findings
Highlights the growth of AI information campaigns over recent years.
Proposes a strategic, Clausewitz-inspired approach to AI information operations.
Underscores the importance of ethical considerations in autonomous AI agents.
Abstract
In a digital epoch where cyberspace is the emerging nexus of geopolitical contention, the melding of information operations and Large Language Models (LLMs) heralds a paradigm shift, replete with immense opportunities and intricate challenges. As tools like the Mistral 7B LLM (Mistral, 2023) democratise access to LLM capabilities (Jin et al., 2023), a vast spectrum of actors, from sovereign nations to rogue entities (Howard et al., 2023), find themselves equipped with potent narrative-shaping instruments (Goldstein et al., 2023). This paper puts forth a framework for navigating this brave new world in the "ClausewitzGPT" equation. This novel formulation not only seeks to quantify the risks inherent in machine-speed LLM-augmented operations but also underscores the vital role of autonomous AI agents (Wang, Xie, et al., 2023). These agents, embodying ethical considerations (Hendrycks et…
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