Many facial recognition systems misidentify people of colour more often than white people, according to a U. The study by the National Institute of Standards and Technology NIST found that, when conducting a particular type of database search known as "one-to-one" matching, many facial recognition algorithms falsely identified African-American and Asian faces 10 to times more than Caucasian faces. The study also found that African-American females are more likely to be misidentified in "one-to-many" matching, which can be used for identification of a person of interest in a criminal investigation. While some companies have played down earlier findings of bias in technology that can guess an individual's gender, known as "facial analysis," the NIST study was evidence that face matching struggled across demographics, too. Joy Buolamwini, founder of the Algorithmic Justice League, called the report "a comprehensive rebuttal" of those saying artificial intelligence AI bias was no longer an issue. The study comes at a time of growing discontent over the technology in the United States, with critics warning it can lead to unjust harassment or arrests.
Many Facial-Recognition Systems Are Biased, Says U.S. Study
Alcohol flush reaction - Wikipedia
The majority of commercial facial-recognition systems exhibit bias, according to a study from a federal agency released on Thursday, underscoring questions about a technology increasingly used by police departments and federal agencies to identify suspected criminals. The systems falsely identified African-American and Asian faces 10 times to times more than Caucasian faces, the National Institute of Standards and Technology reported on Thursday. Among a database of photos used by law enforcement agencies in the United States, the highest error rates came in identifying Native Americans, the study found. The technology also had more difficulty identifying women than men. And it falsely identified older adults up to 10 times more than middle-aged adults.
Black and Asian faces misidentified more often by facial recognition software
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Alcohol flush reaction AFR is a condition in which a person develops flushes or blotches associated with erythema on the face, neck, shoulders, and in some cases, the entire body after consuming alcoholic beverages. The reaction is the result of an accumulation of acetaldehyde , a metabolic byproduct of the catabolic metabolism of alcohol , and is caused by an aldehyde dehydrogenase 2 deficiency. This syndrome has been associated with lower than average rates of alcoholism, possibly due to its association with adverse effects after drinking alcohol. Individuals who experience the alcohol flushing reaction may be less prone to alcoholism.