CSET and the Bipartisan Policy Center partnered with Representatives Robin Kelly and Will Hurd to propose guidelines for national security considerations that must be addressed in a national AI strategy. The findings identify key areas for improvement in defense and intelligence to put the nation on a path to large-scale development and deployment of AI tools in promoting national security.

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.

The United States must collaborate with its allies and partners to shape the trajectory of artificial intelligence, promoting liberal democratic values and protecting against efforts to wield AI for authoritarian ends.

One sentence summarizes the complexities of modern artificial intelligence: Machine learning systems use computing power to execute algorithms that learn from data. This AI triad of computing power, algorithms, and data offers a framework for decision-making in national security policy.

Read our original translation of a PRC government report that analyzes the AI industry in China and concludes that demand for AI professionals continues to exceed supply. The U.S. job market continues to attract the majority of highly qualified Chinese AI researchers, the report finds.

Many countries view artificial intelligence (AI) as critical to economic competitiveness and national security. As a result, sovereign AI—the idea that national governments should develop, control, and govern AI in order to boost economic growth, guarantee security, and ensure strategic autonomy—has become a key strategic consideration in the global AI buildout.

Among great powers, AI has become a new focus of competition due to its potential to transform the character of conflict and disrupt the military balance. This policy brief considers alternative paths toward AI safety and security.

How should democracies effectively compete against authoritarian regimes in the AI space? This report offers a “terrain strategy” for the United States to leverage the malleability of artificial intelligence to offset authoritarians' structural advantages in engineering and deploying AI.

Translation of Russia’s national strategy for the development of AI, released in October 2019. It sets a number of short- (to be completed by 2024) and medium-term (2030) qualitative goals designed to build Russia into a leading AI power.

The Defense Production Act can be an effective tool to bring U.S. industrial might to bear on broader national security challenges, including those in technology. If updated and used to its full effect, the DPA could be leveraged to encourage development and governance of artificial intelligence. And debate about the DPA’s use for AI purposes can serve to shape and condition expectations about the role the law’s authorities should or could play, as well as to identify essential legislative gaps.