See our original translation of South Korea’s industrial technology protection law, as amended in January 2023. The law aims to prevent technologies vital to South Korean national security or economic competitiveness from being divulged to or shared with foreign countries or corporations without the government’s knowledge.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Militaries seek to harness artificial intelligence for decision advantage. Yet AI systems introduce a new source of uncertainty in the likelihood of technical failures. Such failures could interact with strategic and human factors in ways that lead to miscalculation and escalation in a crisis or conflict. Harnessing AI effectively requires managing these risk trade-offs by reducing the likelihood, and containing the consequences of, AI failures.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series presents a method to explore and visualize connections across CSET’s research clusters and enable identification of research of interest within CSET’s merged corpus of scholarly literature and Map of Science.

Read our original translation of a draft Chinese national standard for the security of machine learning (ML) algorithms. Drafted by Chinese government entities and tech companies, the standard provides security guidelines for developers of ML models and procedures for assessing ML algorithms’ susceptibility to cyberattacks.

Despite being a small city-state, Singapore’s star continues to rise as an artificial intelligence hub presenting significant opportunities for international collaboration. Initiatives such as fast-tracking patent approval, incentivizing private investment, and addressing talent shortfalls are making the country a rapidly growing global AI hub. Such initiatives offer potential models for those seeking to leverage the technology and opportunities for collaboration in AI education and talent exchanges, research and development, and governance. The United States and Singapore share similar goals regarding the development and use of trusted and responsible AI and should continue to foster greater collaboration among public and private sector entities.

Read our original translation of the 2022 budget of the All-China Federation of Returned Overseas Chinese, a Communist Party-led organization that liaises with ethnic Chinese people living outside of mainland China and encourages them to support the Party in various ways.

CSET Director of Biotechnology Programs Anna Puglisi testified before the U.S.-China Economic and Security Review Commission at a hearing on "China’s Challenges and Capabilities in Educating and Training the Next Generation Workforce."

CSET Research Analyst Dahlia Peterson testified before the U.S.-China Economic and Security Review Commission at a hearing on "China’s Challenges and Capabilities in Educating and Training the Next Generation Workforce."

Artificial intelligence is so diverse in its range that no simple one-size-fits-all assessment approach can be adequately applied to it. AI systems have a wide variety of functionality, capabilities, and outputs. They are also created using different tools, data modalities, and resources, which adds to the diversity of their assessment. Thus, a collection of approaches and processes is needed to cover a wide range of AI products, tools, services, and resources.