Inherent Risks of LLMs A National Security Perspective

Dr. Jerry Smith's article examines the national security risks of Large Language Models (LLMs). The article highlights three key concerns: data leakage and inference, inherent biases leading to manipulation, and the dual-use nature of LLMs. Smith argues that current safeguards, like red teaming, are insufficient and proposes a comprehensive framework for AI safety, including enhanced data governance, mandated transparency, and international collaboration. This framework aims to mitigate risks while fostering responsible innovation. The article concludes by emphasizing the urgency of implementing proactive measures to prevent misuse of LLMs.

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