This week China imposed tariffs on imports of various U.S. agricultural products in retaliation for Trump Administration tariffs on Chinese imports. Today the Administration announced that it would consider an additional $100 billion in tariffs on Chinese goods in response.
The impact of the Chinese tariffs on U.S. exports of pork meat, cherries, almonds, and ginseng, among other items, was detailed in a new brief from the Congressional Research Service. See China’s Retaliatory Tariffs on Selected U.S. Agricultural Products, CRS Insight, April 4, 2018.
Other new and updated reports from the Congressional Research Service this week include the following.
U.S. Trade Deficit and the Impact of Changing Oil Prices, updated April 4, 2018
Immigration Consequences of Criminal Activity, April 5, 2018
Federal Research and Development (R&D) Funding: FY2019, April 4, 2018
Title I of the Toxic Substances Control Act (TSCA): A Summary of the Statute, April 4, 2018
Data, Social Media, and Users: Can We All Get Along?, CRS Insight, April 4, 2018
Abortion and Family Planning-Related Provisions in U.S. Foreign Assistance Law and Policy, updated April 5, 2018
Nuclear Cooperation with Other Countries: A Primer, updated April 3, 2018
What Happens When Five Supreme Court Justices Can’t Agree?, CRS Legal Sidebar, April 5, 2018
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.