Dealing with the debris left by a major disaster such as Hurricane Harvey is a challenge that requires skilled management to overcome, a new report from the Congressional Research Service explains.
“In the aftermath of a major disaster, a potential threat to safety and obstacle to recovery is the presence of significant amounts of disaster debris.”
“Improperly managing debris can have detrimental long-term repercussions. During or after a disaster, some debris will likely become mixed with hazardous constituents. For example, under flooding conditions, household hazardous waste or sewage may contaminate otherwise benign personal property or building materials, such as drywall or carpeting. Improper disposal of contaminated debris may lead to future environmental, health, or safety problems, such as groundwater contamination.”
The CRS report provides an overview of the legal and regulatory frameworks for addressing disposal of post-disaster debris. See Disaster Debris Management: Requirements, Challenges, and Federal Agency Roles, September 6, 2017.
Other notable new and updated reports from the Congressional Research Service include the following.
Floodplain Management and Flood Resilience: Current Policy and Considerations for Congress, CRS Insight, September 6, 2017
Issues in Autonomous Vehicle Deployment, September 1, 2017
Retirement Benefits for Federal Law Enforcement Personnel, updated September 5, 2017
Qatar: Governance, Security, and U.S. Policy, updated September 1, 2017
Paraguay: In Brief, August 31, 2017
New Financial Sanctions on Venezuela: Key Issues, CRS Insight, September 1, 2017
Since 2002, the Aegis Ballistic Missile Defense system has reportedly achieved 36 successful missile intercepts out of 44 attempts. Lately, Japan has indicated that it will purchase and deploy an Aegis Ashore system to bolster its own defense against North Korean missiles. See Navy Aegis Ballistic Missile Defense (BMD) Program: Background and Issues for Congress, updated September 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.