Despite growing opposition, the U.S. government is on track to increase its use of controversial facial recognition technology.
The report comes more than a year after theU.S.
A common theme of this opposition is the lack of standards and regulations for facial recognition technology.
Congress isweighing a moratoriumon government use of the technology.
Some cities and states, notablyMaine, have introduced restrictions.
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The statement we wrote outlines principles for the use of facial recognition technologies in these consequential applications.
The first and most critical of these is the need to understand the accuracy of these systems.
One of the key problems with these algorithms is that theyperform differently for different ethnic groups.
Another study found the algorithms aremore accurate for lighter-skinned malesthan for darker-skinned females.
Researchers are also exploring how other features, such as age, disease anddisability status, affect these systems.
These studies are alsoturning up disparities.
A number of other features affect the performance of these algorithms.
Would a system trained on the former perform well in the latter context?
Howlighting, weather, camera angle and other factors affect these algorithmsis still an open question.
The company collected its data photos of individuals faces with no notification.
Are you in the dataset Clearview uses?
You have no way to know.
