Virtual Library

Our virtual library is an online repository of all of the reports, papers, and briefings that IST has produced, as well as works that have influenced our thinking.

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Reports

Unlocking U.S. Technological Competitiveness: Proposing Solutions to Public-Private Misalignments

Ben Purser, Pavneet Singh

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Articles

The Phone-a-Friend Option: Use Cases for a U.S.-U.K.-French Crisis Communication Channel

Daniil Zhukov

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Articles

China: Nuclear Crisis Communications and Risk Reduction

Dr. Tong Zhao

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Articles

Use-Cases of Resilient Nuclear Crisis Communications: A View from Russia

Dmitry Stefanovich

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Articles

Pakistan: Mitigating Nuclear Risks Through Crisis Communications

Dr. Rabia Akhtar

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Articles

Resilient Nuclear Crisis Communications: India’s Experience

Dr. Manpreet Sethi

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Reports

A Lifecycle Approach to AI Risk Reduction: Tackling the Risk of Malicious Use Amid Implications of Openness

Louie Kangeter

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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.

SUBMIT CONTENT

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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