Noteworthy new and updated reports from the Congressional Research Service include the following.
Slow Growth in the Current U.S. Economic Expansion, June 24, 2016
Economic Growth Slower Than Previous 10 Expansions, CRS Insight, June 30, 2016
The Economic Effects of Trade: Overview and Policy Challenges, June 29, 2016
Job Creation in the Manufacturing Revival, updated June 28, 2016
U.S. Semiconductor Manufacturing: Industry Trends, Global Competition, Federal Policy, June 27, 2016
Federal Research and Development Funding: FY2017, June 24, 2016
Digital Searches and Seizures: Overview of Proposed Amendments to Rule 41 of the Rules of Criminal Procedure, June 29, 2016
Expulsion, Censure, Reprimand, and Fine: Legislative Discipline in the House of Representatives, updated June 27, 2016
Midnight Rules: Congressional Oversight and Options, CRS Insight, June 27, 2016
Senate Action on U.S. Circuit and District Court Nominations During the Eighth Year of a Presidency, CRS Insight, June 30, 2016
Frequently Asked Questions Regarding the Supreme Court’s 4-4 Split on Immigration, CRS Legal Sidebar, June 24, 2016
Iran’s Foreign Policy, updated June 27, 2016
Financing U.S. Agricultural Exports to Cuba, CRS Insight, June 24, 2016
After Brexit: A Diminished or Enhanced EU?, CRS Insight, June 29, 2016
Possible Economic Impact of Brexit, CRS Insight, June 28, 2016
Zika Virus in Latin America and the Caribbean: U.S. Policy Considerations, June 29, 2016
Nanotechnology: A Policy Primer, updated June 28, 2016
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.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.