Companies use AI to Find Human Employees to Work with Artificial Intelligence

Companies use AI to Find Human Employees to Work with Artificial Intelligence

Lately, it seems that more and more jobs that used to be performed by humans are being taken over by one form or another of artificial intelligence, or AI. But, despite all jokes made to the contrary, there is still a need for real actual human beings, say experts. You just need to have what is required to work with a Machine that thinks. Machines augmented with AI have long been replacing human workers on assembly lines, factory floors, and in manual labor. Most recently they are being added to jobs that usually were thought to require the judgment and intuition of a person, in fields like finance, law, and medicine.

But humans have not been made obsolete yet. There remain plenty of jobs for those who develop, program, manage, and market AI to work alongside it or improve its operation. As an exercise in irony, recruiters are now using AI to find employees with the correct qualifications and intelligence for these slots.

However, as job descriptions have gone from traditional roles like ‘chief clerk’ to modern titles like ‘chief digital officer’ the attributes for job seekers have changed too, though employers and employees alike are having difficulties effectively specifying what they are.

“Most people will tell you that to work in AI you need traits like a ‘growth mindset,’ you need to be ‘adaptable’ and have an ‘owner mentality’ – those are the buzzwords. The reality is that the job itself has to be properly defined,” says Caitlin MacGregor, CEO, and co-founder of Plum, an Ontario-based online recruiter.

Plum matches prospective employees with possible employers by using a specialized algorithm based on their surveys. Like a dating app but for job opportunities rather than your love-life. But, Macgregor goes on to say, no one’s quite sure what to make of these opportunities in the new economy.

“They default to questions like where people went to school, what degrees they have, how many years they’ve worked, what titles they’ve had. Those markers never really were able to predict success; in this digital age, we need to be really clear what does,” she says.

“We know based on 30 years of research that intelligence is the number one predictor of performance, across all roles and all industries. We need to be measuring for intelligence before we even pick up a résumé, instead of waiting until someone has been three months on the job,” Ms.

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