This report examines lessons from the North Carolina Life Sciences Apprenticeship Consortium for pharmaceutical and biomanufacturing workforce development, and analyzes how apprenticeship programs help address workforce shortages in emerging tech fields. It offers a practical framework with important considerations for designing and launching programs, and serves as a resource for employers, regional leaders, and policymakers seeking to build a more resilient and technically skilled workforce.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series introduces CSET’s patent clusters, which connect related patents through citations and text similarity.

Helen Toner testified before the House Judiciary Subcommittee on Courts, Intellectual Property, Artificial Intelligence, and the Internet on recommendations to bolster security and transparency around U.S.-developed frontier AI.

We investigate the scale of attack and defense mathematically in the context of AI's possible effect on cybersecurity. For a given target today, highly scaled cyber attacks such as from worms or botnets typically all fail or all succeed.

In response to the Office of Science and Technology Policy's request for input on an AI Action Plan, CSET provides key recommendations for advancing AI research, ensuring U.S. competitiveness, and maximizing benefits while mitigating risks. Our response highlights policies to strengthen the AI workforce, secure technology from illicit transfers, and foster an open and competitive AI ecosystem.

Dr. Steph Batalis and Vikram Venkatram offered the following comment in response to the National Institute of Standards and Technology's request for information on safety considerations for chemical and biological AI models.

Artificial intelligence (AI) tools pose exciting possibilities to advance scientific, biomedical, and public health research. At the same time, these tools have raised concerns about their potential to contribute to biological threats, like those from pathogens and toxins. This report describes pathways that result in biological harm, with or without AI, and a range of governance tools and mitigation measures to address them.

Sam Bresnick testified before the Senate Judiciary Subcommittee on Privacy, Technology, and the Law regarding tech companies' ties to China and their implications in a future conflict scenario.

This publication examines how emerging AI tools—including LLM-based chatbots and biological design tools—are reshaping the biosecurity landscape for commercial DNA synthesis.

Medical artificial intelligence, which depends on large repositories of biological data, can improve public health and contribute to the growing global bioeconomy. Countries that strategically prioritize medical AI could benefit from a competitive advantage and set global norms. This report examines China’s stated goals for medical AI, finding that the country’s strategy for biodata collection and medical AI development positions it to be an economic and technological leader in this sector.