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Bibliographic Details
Main Author: Dahlgren, Masao
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.10026
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author Dahlgren, Masao
author_facet Dahlgren, Masao
contents A spirited debate is taking place over the regulation of open foundation models: artificial intelligence models whose underlying architectures and parameters are made public and can be inspected, modified, and run by end users. Proposed limits on releasing open foundation models may have significant defense industrial impacts. If model training is a form of defense production, these impacts deserve further scrutiny. Preliminary evidence suggests that an open foundation model ecosystem could benefit the U.S. Department of Defense's supplier diversity, sustainment, cybersecurity, and innovation priorities. Follow-on analyses should quantify impacts on acquisition cost and supply chain security.
format Preprint
id arxiv_https___arxiv_org_abs_2408_10026
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Defense Priorities in the Open-Source AI Debate: A Preliminary Assessment
Dahlgren, Masao
Computers and Society
A spirited debate is taking place over the regulation of open foundation models: artificial intelligence models whose underlying architectures and parameters are made public and can be inspected, modified, and run by end users. Proposed limits on releasing open foundation models may have significant defense industrial impacts. If model training is a form of defense production, these impacts deserve further scrutiny. Preliminary evidence suggests that an open foundation model ecosystem could benefit the U.S. Department of Defense's supplier diversity, sustainment, cybersecurity, and innovation priorities. Follow-on analyses should quantify impacts on acquisition cost and supply chain security.
title Defense Priorities in the Open-Source AI Debate: A Preliminary Assessment
topic Computers and Society
url https://arxiv.org/abs/2408.10026