New and updated reports from the Congressional Research Service this week include the following.
Canadian Prime Minister Trudeau’s State Visit, March 2016, CRS Insight, March 7, 2016
Overview of FY2017 Appropriations for Commerce, Justice, Science, and Related Agencies (CJS), March 7, 2016
First-Term Members of the House of Representatives and Senate, 64th-114th Congresses, March 7, 2016
The Precision Medicine Initiative, CRS Insight, March 8, 2016
Cybersecurity: Critical Infrastructure Authoritative Reports and Resources, March 8, 2016
The Aliso Canyon Natural Gas Leak: State and Federal Response and Oversight, CRS Insight, March 9, 2016
EPA’s Clean Power Plan for Existing Power Plants: Frequently Asked Questions, updated March 9, 2016
Poland and Its Relations with the United States: In Brief, updated March 7, 2016
Iraq: Politics and Governance, updated March 9, 2016
Navy Ford (CVN-78) Class Aircraft Carrier Program: Background and Issues for Congress, updated March 8, 2016
Navy Ohio Replacement (SSBN[X]) Ballistic Missile Submarine Program: Background and Issues for Congress, updated March 8, 2016
Daylight Saving Time, March 9, 2016
After months of delay, the council tasked by President Trump to review the FEMA released its final report. Our disaster policy nerds have thoughts.
FAS and FLI partnered to build a series of convenings and reports across the intersections of artificial intelligence (AI) with biosecurity, cybersecurity, nuclear command and control, military integration, and frontier AI governance. This project brought together leaders across these areas and created a space that was rigorous, transpartisan, and solutions-oriented to approach how we should think about how AI is rapidly changing global risks.
Investment should instead be directed at sectors where American technology and innovation exist but the infrastructure to commercialize them domestically does not—and where the national security case is clear.
AI is already consequential, but its future trajectory remains contested. Policymakers should make their assumptions explicit, focus on what can be shaped rather than what can be perfectly predicted, and build institutions that can learn and respond as evidence changes.