New and updated publications from the Congressional Research Service that Congress has withheld from online public access include the following.
Staff Pay Levels for Selected Positions in House Member Offices, 2009-2013, November 3, 2014
Staff Pay Levels for Selected Positions in Senators’ Offices, FY2009-FY2013, November 3, 2014
Congressional Action on FY2015 Appropriations Measures, November 5, 2014
The G-20 Summit: Brisbane, November 15-16, 2014, CRS Insights, November 5, 2014
Treating Ebola Patients in the United States: Health Care Delivery Implications, CRS Insights, November 4, 2014
EPA’s Clean Power Plan Proposal: Are the Emission Rate Targets Front-Loaded?, CRS Insights, November 3, 2014
How Will the Federal Reserve “Normalize” Monetary Policy After QE?, CRS Insights, October 30, 2014
Federal Taxation of Marijuana Sellers, CRS Legal Sidebar, November 6, 2014
Voter Identification Requirements: Background and Legal Issues, November 3, 2014
Qatar: Background and U.S. Relations, November 4, 2014
Immigration Legislation and Issues in the 113th Congress, November 4, 2014
Border Security: Immigration Inspections at Ports of Entry, October 31, 2014
Renewable Energy R&D Funding History: A Comparison with Funding for Nuclear Energy, Fossil Energy, and Energy Efficiency R&D, October 10, 2014
Commercial artificial intelligence tools have recently emerged that are able to produce police reports. If the resulting reports are inaccurate, incomplete or biased, or if the process leaks confidential information, this could undermine the criminal justice system and harm citizens.
Too often, affected patients, clinicians, and regulators cannot see how the system works, why a decision was made, or whether meaningful human oversight occurred.
Existing tools from other domains, such as existing robust public engagement processes in drug development, when applied to AI deployment can help strengthen public trust in these systems and enhance perceptions of their legitimacy and the decisions they produce.
With thoughtful policy action, it is still possible to build systems that are fair, transparent, and accountable, and to earn the public trust that will ultimately determine AI’s future. We hope policymakers are ready to act.