You have a telephone interview for your dream job, and you're feeling nervous. You make yourself a cup of tea as you wait for the phone to ring, and you count to three before picking up.

Now imagine that your interviewer is a robot named Vera.

Russian startup Stafory co-founder Alexei Kostarev says Robot Vera, which his company developed, is driven by artificial intelligence (AI) algorithms.

"It's machine learning," Kostarev said, as he explained that his firm programmed Vera using 1.4 million interviews, as well as Wikipedia and 160,000 books.

When Vera first started conducting phone interviews, she followed a script, but that has since changed.

"Vera understands the kind of answers candidates give," Moscow-based Kostarev told AFP by phone.

And while robot recruiters will appeal to companies trying to keep costs down, there may also be another, more subtle advantage.

"When (candidates) give feedback on a job offer for example, they (say) more honest things they would not tell ... a human," Kostarev said.

Stafory says Robot Vera currently has 200 clients, major companies which then take the selected job candidates through conventional interviews and final selection.

- Danger of bias -

More broadly, human resources specialists are looking to AI solutions to speed up recruitment processes as a whole.

US company ZipRecruiter is touting a real-time selection service, with each job offer posted immediately on as many as 100 websites.

In the blink of an eye, its algorithm then trawls through the 10 million jobseekers who have registered with ZipRecruiter to see which best suit the job description.

The prospective employer then gets a shortlist of the top candidates, making recruitment a far less time-consuming exercise.

Ian Siegel, head of ZipRecruiter, told AFP the system works well because "employers aren't great at describing what they want but they know what they want when they see it".

Algorithms get better and better over time at detecting what kind of profile companies are looking for, as human resources staff give a virtual thumbs up to their preferred candidates.

So far so good, but of course there are concerns.

For one, the algorithms are learning so fast it is hard to work out how they make such crucial choices.

There is also a fear that the robots cannot remain immune to weaknesses such as bias or prejudice -- when all their learning comes from humans.

ZipRecruiter is trying its best to take the risk of bias into account in its algorithms.

But "the thing is, the algorithm is so sophisticated, there's so many different pieces of information, we can't reverse engineer exactly how it's coming up with the matches," Siegel said by phone.

- 'It takes two' -

Jeremy Lamri of the Paris-based association of human resources start-ups called LabHR said one way to counter this risk is to dial down the AI in the system.

"It is enough to tell the machine what to look out for; there is no need for machine learning in this," he said.

Technology is developing all the time as employers look for candidates with soft skills such as learning capacity, adaptability, and the ability to work well in a team.

"If tomorrow someone invents a scanner which can tell simply by looking into your eye whether you can perform well in a job, then I would think most (companies) would adopt it," said Lamri.

But if machines can make the initial selection, it should always be up to human beings to make the final choice, said Laurent da Silva, head of Adecco recruitment units Badenoch & Clark and Spring.

"It's like in our private lives," he said.

"AI can help facilitate meetings, but at the end of the day, it takes two real people to tango."

juj/bmm/ser/rl/ceb

ADECCO

Related Links
All about the robots on Earth and beyond!

Tweet

Thanks for being here; We need your help. The SpaceDaily news network continues to grow but revenues have never been harder to maintain. With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords. Our news coverage takes time and effort to publish 365 days a year. If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution.
SpaceDaily Contributor $5 Billed Once credit card or paypal		SpaceDaily Monthly Supporter $5 Billed Monthly paypal only

Face recognition for galaxies: Artificial intelligence brings new tools to astronomy
Santa Cruz CA (SPX) Apr 24, 2018
A machine learning method called "deep learning," which has been widely used in face recognition and other image- and speech-recognition applications, has shown promise in helping astronomers analyze images of galaxies and understand how they form and evolve. In a new study, accepted for publication in Astrophysical Journal and available online, researchers used computer simulations of galaxy formation to train a deep learning algorithm, which then proved surprisingly good at analyzing images of g ... read more