The potential benefits and limitations of using unmanned aerial vehicles for homeland security applications were considered by the Congressional Research Service in yet another updated report. See “Homeland Security: Unmanned Aerial Vehicles and Border Surveillance,” July 8, 2010.
The same set of issues was examined in a newly published master’s thesis on “Integrating Department of Defense Unmanned Aerial Systems into the National Airspace Structure” by Major Scott W. Walker.
Another new master’s thesis looked at the comparatively high accident rate of unmanned systems and their susceptibility to attack or disruption. See “The Vulnerabilities of Unmanned Aircraft System Common Data Links to Electronic Attack” by Major Jaysen A. Yochim.
The “secret history” of unmanned aircraft was recounted in an informative new study published by the Air Force Association. See “Air Force UAVs: The Secret History” by Thomas P. Ehrhard, July 2010.
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.