On the job market, a person is only as good as their abilities, whether hard skills – master a computer language – or soft skills – know how to lead teams. Companies spend astronomical amounts of money on these reviews. Some use software to sort CVs, others impose grueling recruitment processes on candidates. None of this significantly increases the reliability of hiring or building a team assigned to a new project.
As in other sectors, the machine makes few mistakes. Above all, its AI algorithm is designed to learn very quickly from its mistakes.
In 2020, Kian Katanforoosh, 26, teaches artificial intelligence at Stanford University, where his class has some 800 students. With Andrew Ng, an academic authority on AI, too serial entrepreneur, they decided to create Workera.ai. The company today has customers all over the world. They use Workera to detect the skills of existing teams or newcomers. The system is based on questionnaires that a series of artificial intelligences constantly develop and adapt according to an infinite number of possibilities.
In this episode of Control F, Kian Katanforoosh, CEO of Workera, tells us how the machine now evaluates the human. And what are the consequences for the future of work.