国防部部署大型语言模型的风险考虑因素

Misty K. Blowers, Santos S. Salinas, Seth A. Bailey
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引用次数: 0

摘要

在 2023 年 8 月 10 日致国防部(Department of Defense)高级领导人的备忘录中,国防部副部长概述了国防部新成立的首席数字和人工智能官生成式人工智能和大型语言模型工作组(Task Force Lima)的作用和职责。人工智能和大型语言模型工作组负责集中国防部的力量,探索并负责任地部署生成式人工智能和大型语言模型能力。虽然人工智能和 LLM 在商业应用中为自然语言处理带来了革命性的变化,但在国防部全面部署该技术之前,必须解决一些重大问题。本研究将探讨当前训练数据中的偏差、违反道德的行为、安全漏洞、潜在的滥用以及人工智能和 LLM 可解释性方面的挑战。工业界、学术界和政府需要建立合作伙伴关系,确保负责任地、公平地部署 LLM,以负责任、安全和终端用户充分理解的方式充分发挥 LLM 的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk considerations for the department of defense's fielding of large language models
In a 10 August 2023 memo to Senior Department of Defense (DoD) Leaders, the Deputy Secretary of Defense outlined the roles and responsibilities of the DoD's newly established Chief Digital and Artificial Intelligence Officer Generative Artificial Intelligence and Large Language Models Task Force, Task Force Lima. The AI and LLM Task Force is charged with focusing the DoD's exploration and responsible fielding of generative AI and LLM capabilities. While AI and LLM have revolutionized natural language processing in commercial applications, significant concerns must be addressed before the technology is fully deployed within the DoD. This study will explore the current biases in training data, ethical violations, security breaches, potential misuse, and challenges with AI and LLM interpretability. Industry, academic and government partnerships need to ensure a responsible and equitable deployment of LLMs that harnesses the full potential of the capabilities in a manner that is responsible, secure, and well understood by the end user community.
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