The Department of Defense reportedly expects to increase its use of unmanned aerial systems (“drones”) by nearly 50% in the next few years. At the same time, however, the rate of DoD’s procurement of drones is projected to decline sharply from FY2016-2020.
The Congressional Research Service takes note of the seeming contradiction and proposes several possible explanations to resolve it. See How Many UAVs for DoD?, CRS Insights, August 27, 2015.
Other new and updated CRS publications that became public last week include the following.
Policy Implications of the Internet of Things, CRS Insights, August 25, 2015
Health Insurance: Small is the New Large, CRS Insights, August 26, 2015
Gold King Mine Spill May Renew Interest in “Good Samaritan” Legislation, CRS Insights, August 27, 2015
Financial Regulatory Improvement Act Included in Senate Appropriations Bill, CRS Insights, August 27, 2015
Terrorism Victims Sue to Enjoin Sanctions Relief under the Iran Nuclear Agreement, CRS Legal Sidebar, August 27, 2015
District of Columbia: A Brief Review of Provisions in District of Columbia Appropriations Acts Restricting the Funding of Abortion Services, updated August 27, 2015
Drug Testing and Crime-Related Restrictions in TANF, SNAP, and Housing Assistance, updated August 28, 2015
The Patient Protection and Affordable Care Act’s Essential Health Benefits (EHB), August 27, 2015
Navy Ship Names: Background For Congress, updated August 26, 2015
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.