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Facial recognition as a means of verifying unemployed individuals ‘does not function effectively.’

Facial recognition as a means of verifying unemployed individuals 'does not function effectively.'

Facial recognition as a means of verifying unemployed individuals ‘does not function effectively.’ According to media reports, the face recognition technology used by almost two dozen US states to check applicants for unemployment benefits is inefficient. Resulting in many individuals being refused benefits or having their applications placed on hold.

ID.me is an identity verification service that aims to assist decrease unemployment fraud. By verifying people’s identities using biometric data and official papers.

However, Motherboard reports that several people who have filed for unemployment have claimed that ID.me failed. To properly identify them and that they have had difficulties contacting someone at ID.me to resolve the issue.

ID.me did not immediately respond to a request for comment. But CEO Blake Hall told Motherboard in an email that the algorithms used in the company’s Face Match technology are “99.9 percent effective,” according to The Verge.

He noted that user error may be at fault and said that the firm was unaware of “qualified individuals. Who was unable to authenticate their identity using the company’s software.”

Also Read: From Monday, Assam will vaccinate three lakh people every day.

With millions of individuals out of work as a result of the Covid-19 epidemic, state offices have seen an increase in claims in the last year.

Some states reported a significant increase in fraudulent claims last spring. And the Department of Labor announced in February that it detected more than $5 billion. In possibly fraudulent unemployment payouts between March and October of last year.

What do you think?

Written by Ankur J Kakoti

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