It then calls the selected profiles to interview them
Posted: Thu Feb 13, 2025 10:23 am
Examples of using AI in recruitment L'Oréal and the Véra robot: robot-veraOne of the first companies to use AI in its recruitment was L'Oreal in 2018. To ensure its recruitment in Russia, the company equipped itself with a virtual HRD called "Véra" created by the startup Stafori.
Her role: to pre-select candidates, call the selected profiles, and interview them by phone or via Skype. Artificial intelligence, connected to five job sites, sorts the applications.Thanks to AI, this ultra-sophisticated robot is able to analyze intonations, facial expressions, speech flow, and even the vocabulary used by candidates.
It can then detect candidates' emotions belarus cell phone number list such as enthusiasm or disappointment. Unilever and Hirevue algorithms: Recently, in the United Kingdom, the giant Unilever used algorithms developed by Hirevue to identify the best candidates. Just like Vera, the algorithms analyze language, tone and facial expressions during video interviews.
They analyze candidates' expressions from every angle: raised eyebrows, closed eyes, pursed lips, shape of smile, etc. In terms of language, the algorithm analyzes 350 different data based on the use of passive or active words, the length of sentences, but also the tone of voice, the rate of speech, etc.
Her role: to pre-select candidates, call the selected profiles, and interview them by phone or via Skype. Artificial intelligence, connected to five job sites, sorts the applications.Thanks to AI, this ultra-sophisticated robot is able to analyze intonations, facial expressions, speech flow, and even the vocabulary used by candidates.
It can then detect candidates' emotions belarus cell phone number list such as enthusiasm or disappointment. Unilever and Hirevue algorithms: Recently, in the United Kingdom, the giant Unilever used algorithms developed by Hirevue to identify the best candidates. Just like Vera, the algorithms analyze language, tone and facial expressions during video interviews.
They analyze candidates' expressions from every angle: raised eyebrows, closed eyes, pursed lips, shape of smile, etc. In terms of language, the algorithm analyzes 350 different data based on the use of passive or active words, the length of sentences, but also the tone of voice, the rate of speech, etc.