Prodded by a request from the Federation of American Scientists, the U.S. Marine Corps recently restored online public access to many of its doctrinal publications, Federal Computer Week reported on March 27.
One of those Marine Corps documents addresses war crimes (pdf), describing prohibited actions and the need to prevent them.
“While we Marines fight swiftly and aggressively, we also conduct our military operations with respect toward both the liberated people and the vanquished foe.”
“Marines do not harm enemy soldiers who surrender. Marines do not torture or kill enemy prisoners of war or detainees. Marines collect and care for the wounded, whether friend or foe.”
See “War Crimes,” Marine Corps Reference Publication 4-11.8B, 6 September 2005.
Another document is a 1990 analysis of weather patterns in the Persian Gulf (pdf).
“While some of the technical information in this manual is of use mainly to meteorologists, much of the information is invaluable to anyone who wishes to predict the consequences of changes in the season or weather on military operations.”
See “The Persian Gulf Region: A Climatological Study,” Fleet Marine Force Reference Publication 0-54, 19 October 1990.
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.