Start Up Adept ID Wants to Fill Skill Gap With the Aid of AI Technology
Adept ID aims to help those without a college degree to find jobs with the assistance of AI technology.
The Cambridge-based startup AdeptID with its talent matching services for companies wants to save people from the dilemma of unemployment. Especially those without the college degree. AdeptID utilizes AI technology for the identification of hidden talent in the workforce.
The platform can be used by job seekers to approach relevant employers whilst by talent seekers to hire relevant people with skills. Employers have always appreciated the idea of skill-based hiring meaning the hiring on the premise of underlying skills rather than previous job titles. But now with aid of Adept ID, the employers can use the APIs in the talent stack to programmatically identify the underlying skills of potential hires.
They can also utilize the APIs at the strategic level to assess the supply and demand for the particular skill and subsequently the potential talent for their geographies of interest. In addition to this, the system also recommends relevant training to candidates to enhance their skills in the job market thus further increasing their chances of employment. In short, the company can link the employers with job seekers and vice versa.
AdeptID states that its system has been designed to avoid any pitfalls that can destroy AI-driven systems. Other than this the startup instead of eliminating people on the basis of their characteristics tries to find reasons why someone is qualified for the job.
The AI-based startup was formed last year by Fernando Rodriguez-Villa and Brian DeAngelis. The implementation of AI in businesses has become quite common. But the issue of ethical AI has come to the surface at the same time. Fernando Rodriguez-Villa explaining the working of the startup and their efforts to undermine the issues related to ethical AI said:
“Any company that is using ‘AI’ or data science to train models based on outcomes has to be careful about the susceptibility of those models to bias. That’s something we’ve prioritized early on and have included in the structure of the algorithms themselves.”
Whilst explaining the working of the startup he said:
Just because someone’s a cashier doesn’t mean we’re going to throw them out,” he added. “We’re actually going to look for the parts of being a cashier that are relevant.”