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: Public-Private Misalignments in Biotechnology, Energy, and Quantum Sectors

Ben Purser, Pavneet Singh

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Reports

Effects of Electromagnetic Pulses on Communication Infrastructure: An IST Primer

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Reports

How Does Access Impact Risk? Assessing AI Foundation Model Risk Along a Gradient of Access

Zoë Brammer, along with contributors from the AI Foundation Model Access Working Group

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Fact Sheet

DOD and SBA Launch the Small Business Investment Company Critical Technology (SBICCT) Initiative

Strategic Balancing Initiative

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Fact Sheet

White House Releases Outbound Investment Executive Order

Strategic Balancing Initiative

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Reports

Strengthening Resilience in 21st Century Crisis Communications

Alexa Wehsener, Sylvia Mishra

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Fact Sheet

DoD Releases the National Defense Science and Technology Strategy

Strategic Balancing Initiative

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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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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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