FAS

Lee S. Strickland, Former CIA Officer

02.06.07 | 1 min read | Text by Steven Aftergood

Secrecy News was sad to learn that Lee S. Strickland, a former Central Intelligence Agency official, died on January 23.

We first encountered him perhaps 15 years ago when he was the head of the CIA Freedom of Information office, where he used to reliably deny our FOIA requests. Over the years he seemed to enlarge his horizons and to admit the possibility of contrasting views. He taught his students at the University of Maryland that information policy could be exciting as well as important. And he was a nice guy.

See this obituary for Lee Strickland from the University of Maryland College of Information Studies.

publications
See all publications
Clean Energy
Blog
Fixing a Broken Market: A Plan for Cheaper Freight, Cleaner Air, and American Truck Leadership

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.

06.16.26 | 9 min read
read more
Emerging Technology
Report
SOURCE CODE: A Policy Agenda for Fostering Trust and Fairness in AI

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.

06.11.26 | 17 min read
read more
Emerging Technology
day one project
Policy Memo
Move Algorithmic-Driven Pay and Scheduling Systems From Surveillance Pay to Fair Wages

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

06.11.26 | 15 min read
read more
Emerging Technology
day one project
Policy Memo
How State Leaders Can Put People First in AI Decision-Making

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.

06.11.26 | 17 min read
read more