Given its length, complexity and limited availability, it is unlikely that most members of Congress actually read the full text of the American Health Care Act that passed the House of Representatives today.
But the Congressional Research Service prepared a report, updated today, that includes an overview of all of the provisions of the Act. See H.R. 1628: The American Health Care Act (AHCA), May 4, 2017.
Other new and updated reports from the Congressional Research Service include the following.
Frequently Asked Questions About Prescription Drug Pricing and Policy, May 2, 2017
Revitalizing Coastal Shipping for Domestic Commerce, May 2, 2017
Trade Implications of the President’s Buy American Executive Order, CRS Insight, May 2, 2017
Presidential Appointee Positions Requiring Senate Confirmation and Committees Handling Nominations, updated May 3, 2017
The United States Withdraws from the TPP, CRS Insight, updated May 4, 2017
Drinking Water State Revolving Fund (DWSRF): Program Overview and Issues, updated May 3, 2017
The Corporation for Public Broadcasting: Federal Funding and Issues, updated May 3, 2017
How to Develop and Write a Grant Proposal, updated May 2, 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.