To protect Europeans from the risks posed by artificial intelligence, the EU passed its AI Act last year. This month, the EU released a Code of Practice to help providers of general purpose AI comply with the AI Act. This blog reviews the measures set out in the new Code’s safety and security chapter, assesses how they compare to existing practices, and what the Code’s global impact might be.

CSET's Jacob Feldgoise and Hanna Dohmen outline China's market share gains in semiconductor manufacturing equipment, based on data from CSET ETO's updated Supply Chain Explorer.

This blog post analyzes five major Chinese AI governance proposals, focusing on the key actors specified in each proposal. We find that older proposals lack specificity when identifying AI governance actors. Recent proposals, on the other hand, assign roles and responsibilities to a defined set of actors. The findings from this blog post can help policymakers and analysts better understand China’s fast-evolving AI governance landscape.

Since 2022, U.S. export controls have restricted the highest-performing AI chips from being exported to China. The Biden administration likely did not intend to control CPUs (i.e., general-purpose processors) with these restrictions. However, CPUs are increasingly subject to export controls because chip designers are incorporating specialized elements for AI computation into CPUs. In this blog post, we discuss the implications of controlling AI-capable CPUs and make recommendations for the Bureau of Industry and Security (BIS) at the U.S. Department of Commerce.

The European Union's Artificial Intelligence Act has officially come into force today after more than five years of legislative processes and negotiations. While marking a significant milestone, it also initiates a prolonged phase of implementation, refinement, and enforcement. This blog post outlines key aspects of the regulation, such as rules for general-purpose AI and governance structures, and provides insights into its timeline and future expectations.

Large language models (LLMs), the technology that powers generative artificial intelligence (AI) products like ChatGPT or Google Gemini, are often thought of as chatbots that predict the next word. But that isn't the full story of what LLMs are and how they work. This is the third blog post in a three-part series explaining some key elements of how LLMs function. This blog post explains how AI developers are finding ways to use LLMs for much more than just generating text.

Large language models (LLMs), the technology that powers generative artificial intelligence (AI) products like ChatGPT or Google Gemini, are often thought of as chatbots that predict the next word. But that isn't the full story of what LLMs are and how they work. This is the second blog post in a three-part series explaining some key elements of how LLMs function. This blog post explores fine-tuning—a set of techniques used to change the types of output that pre-trained models produce.

As the U.S. government considers banning genomics companies from China in the Biosecure Act, it opens a broader question of how the U.S. and other market economies should deal with China’s national champions. This blog post provides an overview of BGI and how China’s industrial policy impacts technology development.

As the U.S. government tightens its controls on China’s semiconductor ecosystem, a new dimension is increasingly worrying Congress: the open-source chip architecture known as RISC-V (pronounced “risk-five”). This blog post provides an introduction to the RISC-V architecture and an explanation of what policy-makers can do to address concerns about this open architecture.

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