President Trump’s decision to withdraw the United States from the Paris Agreement on Climate Change raises a series of legal, procedural and policy questions that have yet to be decisively answered, said the Congressional Research Service last week.
Among those questions: Will the US follow the prescribed multi-year procedure for withdrawal? Or can the US withdraw immediately? What role if any will the US play in future climate change deliberations under the Paris Agreement? What are the prospects for a legal challenge to the US withdrawal?
See President Trump’s Withdrawal from the Paris Agreement Raises Legal Questions, CRS Legal Sidebar, June 9, 2017.
Other new and updated reports from the Congressional Research Service include the following.
FY2018 Defense Budget Request: The Basics, June 9, 2017
Qatar: Governance, Security, and U.S. Policy, updated June 9, 2017
Israel and the Boycott, Divestment, and Sanctions (BDS) Movement, updated June 9, 2017
U.S. Foreign Aid to the Middle East and North Africa: The President’s FY2018 Request, CRS Insight, June 8, 2017
Malawi: Key Developments and U.S. Relations, June 2, 2017
U.S. Strategy for Engagement in Central America: Policy Issues for Congress, June 8, 2017
European Security and Islamist Terrorism, CRS Insight, updated June 8, 2017
Juneteenth: Fact Sheet, June 9, 2017
Air Force B-21 Long Range Strike Bomber, updated June 7, 2017
Special Counsels, Independent Counsels, and Special Prosecutors: Options for Independent Executive Investigations, June 1, 2017
Americans are paying too much for almost everything, because the United States has long treated its trucking industry as an artifact to be preserved rather than as an opportunity for innovation.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.