As a result of polygraph testing, more than a thousand applications for employment at the Federal Bureau of Investigation have been rejected or otherwise terminated in the last year alone, the FBI told Congress last month. Polygraph testing has been the single largest reason for discontinuing an application, well ahead of administrative or medical issues, use or sale of illegal drugs, or other suitability or security issues. In Fiscal Year 2009, 339 special agent applicants were turned away on polygraph-related grounds, and 825 professional support applications were similarly discontinued.
These data were presented in responses to questions for the record (pdf) from a Senate Judiciary Committee hearing (pdf) last March, and were transmitted to Congress on behalf of FBI Director Robert S. Mueller III on September 15, 2009.
Most of the congressional questions, on everything from Freedom of Information Act compliance to detainee interrogation, are focused and pointed. Some of the answers are informative and occasionally even startling.
Each day between March 2008 and March 2009, Director Mueller told the Committee, “there were an average of more than 1,600 nominations for inclusion on the [Terrorist] watchlist,” as well as 4,800 proposed modifications of existing records, and 600 proposed removals. “Each nomination for addition [to the watchlist] does not necessarily represent a new individual,” Mueller cautioned, “but may instead involve an alias or name variant for a previously watchlisted person.”
The United States federal government invests nearly $150 billion annually in research and development. However, the supporting evidence generates wildly different estimates depending on the methods and available data.
The digital government field has an opportunity to build a more responsive and resilient government by pushing into new frontiers, with new tools, approaches, and even organizations that don’t exist yet. This is the time for radical experimentation, delivery, and exploration.
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.