How far has Beijing advanced on the goals set in its 2021 Space Perspective? Drawing from open-source evidence, this analysis tracks progress across seven mission areas. The findings reveal steady, wide-ranging advances toward 2027 objectives, with one major shortfall: persistent challenges in debris mitigation.

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?

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.

This blog post describes key takeaways from the NATO-Ukraine Defense Innovators Forum, held in Krakow, Poland in June 2024. It overviews changing concepts of operation, battlefield realities, and technological aspirations and innovations in Ukraine, with a focus on uncrewed aerial vehicles (UAVs) and counter-UAV systems. It builds upon CSET’s previous blog from the Future of Drones in Ukraine conference held in Warsaw in November 2023.

This blog post recounts the development of a Python-based data collection pipeline project completed in the summer of 2024 by CSET inaugural intern Jordan Monts. During his project research and work, he used the Requests and BeautifulSoup libraries to create a two-part system to gather and process web data, support ongoing research initiatives, and strengthen his skills in data processing as well as application programming interface (API) management.

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.

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.

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.

The October 30, 2023, White House executive order on artificial intelligence requires companies developing the most advanced AI models to report safety testing results to the federal government. CSET Horizon Junior Fellow Thomas Woodside writes that these requirements are a good first step towards managing uncertain risks and Congress should consider codifying them into law.