Identifying Systemic Bias in the Acquisition of Machine Learning Decision Aids for Law Enforcement Applications
This Perspective describes ways the U.S. Department of Homeland Security can identify and address bias in law enforcement systems that use machine learning and how to prevent such bias at various points in the process of acquiring such systems.
Jan 21, 2021
The authors developed recommendations to improve existing formal requirements and technological solutions regarding naval surface fire support, a way for the U.S. Navy to provide the equivalent of artillery support for forces operating ashore.
Apr 16, 2020