Federal researchers have found widespread evidence of racial bias in nearly 200 facial recognition algorithms in an extensive government study, highlighting the technology's shortcomings and potential for misuse
Racial minorities were far more likely than whites to be misidentified in the US government's testing, the study found, raising fresh concerns about the software's impartiality even as more government agencies at the city, state and federal level clamor to use it.In a release, Patrick Grother, one of the researchers behind the report, said race-based biases were evident in"the majority of the face recognition algorithms we studied.
sues federal government over surveillance from facial recognition technology Asians, blacks and Native Americans were particularly likely to be misidentified, said the National Institute for Standards and Technology, a branch of the Commerce Department, which published the report on Thursday.
México Últimas Noticias, México Titulares
Similar News:También puedes leer noticias similares a ésta que hemos recopilado de otras fuentes de noticias.
Why more cities and states are fighting the spread of facial recognitionLocal governments and legislators are pushing back against the deployment of facial recognition technology, citing concerns about accuracy, bias and abuse.
Leer más »
Why more cities and states are fighting the spread of facial recognitionLocal governments and legislators are pushing back against the deployment of facial recognition technology, citing concerns about accuracy, bias and abuse.
Leer más »
How valuable is Medicare Part D prescription drug insurance?New study shows average lifetime benefits are more than one third of 401(k)/IRA balances
Leer más »
Ruth Bader Ginsburg on Trump impeachment: 'The president is not a lawyer'Ginsburg said senators who show bias should be disqualified, 'Well if a judge said that, a judge would be disqualified from sitting on the case.'
Leer más »