Virtual Library

Our research repositories present a collection of open-source resources that showcase research and analysis that has directly influenced our initiatives. Non-IST publications are copyrighted by external authors not affiliated with IST.

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Reports

Hotline Between Two Koreas: Status, Limitations and Future Tasks

Dr. Chung-in Moon and Boo Seung-Chan

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Reports

Building Communications Norms Across Nuclear C2

Dr. Salma Shaheen

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Reports

Nuclear Hotlines: Origins, Evolution, Applications

Steven E. Miller

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Reports

Formals Methods for NC3 Systems

Adam Wick

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Reports

Pay Attention

Alexa Wehsener

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Reports

Divided Against Itself

M. Nina Miller

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Reports

The AES Project: Any Lessons for NC3?

Thomas Berson

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We also welcome additional suggestions from readers, and will consider adding further resources as so much of our work has come through crowd-sourced collaboration already. If, for any chance you are an author whose work is listed here and you do not wish it to be listed in our repository, please, let us know.

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Virtual Event and Live Q&A with Mr. Nand Mulchandani, Acting Director of the U.S. Department of Defense Joint Artificial Intelligence Center

AI and Human Decision Making: AI and the Battlefield

Institute for Security and Technology, Center for Global Security Research

SUMMARY

As the 21st-century geopolitical balance shifts in uncertain ways, there is an increasing eagerness to deploy AI technologies into both the physical and digital battlefields to gain both tactical and strategic advantage over adversaries. However, the nature of increasingly powerful and unpredictable AI demands a measured and balanced approach to deploying these tools before the limitations, risks, and vulnerabilities are fully understood and addressed. Indeed, these technologies may not currently be “ready for primetime”, on a number of levels. We begin this discussion – meant to be a series of posts on this domain of issues – focused on the following. This initial paper is based off of numerous small-group workshops and ongoing engagement with the AI research community in the San Francisco Bay Area. This initial paper is based off numerous small-group workshops and ongoing engagement with the AI research community in the San Francisco Bay Area: Current AI capabilities remain limited to narrow, well-defined domains. ​ The “black box” nature of state-of-the-art AI/ML algorithms gives limited insight as to their decision-making processes – and conclusions Deploying AI’s could preempt ethical considerations that have yet to be fully understood, identified, or agreed upon, and is in the potential context of an industry-driven race to the bottom

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