This is the most comprehensive and intuitively simple tool I have ever worked with. Particularly important for me was the time spent on matching employees to the offers, which Element does for me.
Artificial intelligence in recruitment is a hot topic. Element ATS implements pioneering solutions in this area of automation of recruitment processes. Algorithms, which are the basis of artificial intelligence developed in the Element recruitment system, are able to recognize profile photos in application documents, as well as read emotions from these photos. Thanks to the mentioned artificial intelligence algorithms, Element‚s employee recruitment system will determine whether the candidate is smiling, worried or nervous, and will also assess intensity of these emotions.
The recognition of photographs in application documents sent as part of recruitment processes has practical applications. For example, when creating a candidate’s recommendation document, the system will place the recognized candidate’s photo in the document itself. However, can the recognition of a candidate’s emotions from his/her photo be useful for something? When thinking about this subject, one should of course omit extreme situations, where the candidate in the photo is clearly sad or nervous – I personally do not remember any candidate with such a photo in the application documents.
Is there any practical application for this type of technology? For example, when recruiting for a position that requires openness or the ability to relieve tension, from two candidates with the same professional experience are we more likely to reach for the one who is smiling in the photo?
Hashtags# profile photo emotions recruitment ats element applicant tracking system
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