The U.S. AI Action Plan is built on three familiar pillars—accelerating innovation, expanding infrastructure, and maintaining technological leadership—but its real test depends on education and training. To that end, the Trump Administration has linked the plan to two executive orders issued in April 2025: Executive Order 14277, “Advancing Artificial Intelligence Education for American Youth,” and Executive Order 14278, “Preparing Americans for High-Paying Skilled Trade Jobs of the Future.” Both orders came with tight deadlines and those windows have now closed. So where do things stand?

Opposing narratives around AI for biotechnology raise the question: how are biotech researchers actually using AI in published research? CSET’s Steph Batalis, Catherine Aiken, and James Dunham explored this question by leveraging CSET’s merged academic corpus, enriched publication metadata, and research clusters.

Artificial intelligence is becoming more integrated into the sciences. One of the scientific fields experiencing this is computational biology, which uses computer modeling to understand biological mechanisms and systems. This blog post provides an understanding of important research trends in these subject areas, and how advancements in AI can improve the speed and efficiency of computational biology to improve human health and well-being.

Now that the first set of milestones has passed for the Biden administration’s October 2023 executive order on artificial intelligence, where do things stand for biotech? This blog post gives an overview of the most recent action items, with a recap of expert commentary from CSET’s June 2024 Webinar on the AIxBio Policy Landscape.

Over the past year, artificial intelligence has quickly become a focal point in K-12 education. This blog post describes new and existing K-12 AI education efforts so that U.S. policymakers and other decision-makers may better understand what’s happening in practice.

The Carnegie Classification of Institutions of Higher Education is making changes to drastically simplify the criteria that determine its highly coveted R1 top-tier research classification. Last year, CSET Senior Fellow, Jaret Riddick, wrote about a new law from Congress, Section 223 of the 2023 National Defense Authorization Act, intended to leverage existing Carnegie classification criteria to increase defense research capacity for historically Black colleges and universities. Now, research is needed to understand how the changes proposed for 2025 classification criteria impact U.S. Department of Defense goals for eligible HBCU partners.

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.

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