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Delve into insightful blog posts from CSET experts exploring the nexus of technology and policy. Navigate through in-depth analyses, expert op-eds, and thought-provoking discussions on inclusion and diversity within the realm of technology.

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Tracking AI Chips: What Does It Cost?

Jacob Feldgoise, Kyle Miller, and Hanna Dohmen
| September 29, 2026

In an accompanying report, we found that two methods are best for verifying the location of AI chips: ping-based location verification (PLV) and physical inspections. This piece compares these two methods through a cost-benefit analysis and shows that PLV is the more cost-effective approach. We conclude that the most effective location verification approach would likely involve a PLV system that is supplemented by small numbers of physical inspections.

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With the rapid integration of AI into our daily lives, we must all learn when and whether to trust the technology, understand its capabilities and limitations, and adapt as these systems — and our functional relationships with them — evolve.

ETO Open-source software Research and Community Activity (ORCA)

Zachary Arnold and Jennifer Melot
| July 11, 2023

ETO’s Open-source software Research and Community Activity (ORCA) tool compiles data on open-source software (OSS) used in science and technology research.

Securing AI Makes for Safer AI

John Bansemer and Andrew Lohn
| July 6, 2023

Recent discussions of AI have focused on safety, reliability, and other risks. Lost in this debate is the real need to secure AI against malicious actors. This blog post applies lessons from traditional cybersecurity to emerging AI-model risks.

For Export Controls on AI, Don’t Forget the “Catch-All” Basics

Emily S. Weinstein and Kevin Wolf
| July 5, 2023

Existing U.S. government tools and approaches may help mitigate some of the issues worrying AI observers. This blog post describes long-standing “catch-all” controls, administered by the Department of Commerce’s Bureau of Industry and Security (BIS), and how they might be used to address some of these threats.

The second in a series, this post provides a reading guide on topics relevant to AI regulation. This article shares various international efforts to guide or regulate the development and use of AI.

Translating AI Risk Management Into Practice

Mina Narayanan and Heather Frase
| June 26, 2023

CSET's AI Assessment team provides a template that helps organizations create profiles to guide the management and deployment of AI systems in line with NIST's AI Risk Management Framework.

Large Language Models in Biology

Steph Batalis, Caroline Schuerger, and Vikram Venkatram
| June 16, 2023

Steph Batalis, Caroline Schuerger and Vikram Venkatram explore three notable areas in the life sciences where LLMs are catalyzing meaningful advances: drug discovery, genetics, and precision medicine.

What We’re Reading on AI Regulation

Danny Hague
| June 7, 2023

The first in a series of posts, this article provides a reading guide on topics relevant to AI regulation. This article shares 101 resources on generative AI, writings on human-AI interactions, and a list of official documents and commentary on U.S. AI policy.

Former CSET intern, Lisa Lam, writes about how generative AI tools—like ChatGPT—can help students learn key concepts in cybersecurity.

Controlling Access to Compute via the Cloud: Options for U.S. Policymakers, Part II

Hanna Dohmen, Jacob Feldgoise, Emily S. Weinstein, and Timothy Fist
| June 5, 2023

In the second of a series of publications, CSET and CNAS outline one avenue the U.S. government could pursue to cut off China’s access to cloud computing services in support of military, security, or intelligence services end use(r)s. The authors discuss pros, cons, and limitations.