New and updated reports from the Congressional Research Service that have not been made available to the public include the following.
Desalination and Membrane Technologies: Federal Research and Adoption Issues, January 8, 2013
The Corporation for Public Broadcasting: Federal Funding and Issues, January 8, 2013
DNA Testing in Criminal Justice: Background, Current Law, Grants, and Issues, December 6, 2012
Environmental Considerations in Federal Procurement: An Overview of the Legal Authorities and Their Implementation, January 7, 2013
Responsibility Determinations Under the Federal Acquisition Regulation: Legal Standards and Procedures, January 4, 2013
Social Security: The Windfall Elimination Provision (WEP), January 8, 2013
Social Security: The Government Pension Offset (GPO), January 8, 2013
Economic Growth and the Unemployment Rate, January 7, 2013
Overview and Issues for Implementation of the Federal Cloud Computing Initiative: Implications for Federal Information Technology Reform Management, January 4, 2013
The National Telecommunications and Information Administration (NTIA): Issues for the 113th Congress, January 3, 2013
Military Medical Care: Questions and Answers, January 7, 2013
Israel: 2013 Elections Preview, January 8, 2013
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.