
Artificial intelligence tools tend to become an integral part of the recruitment process, as more and more companies around the world use them to find the right staff.
These tools serve and are used in different stages of recruitment, from the "drafting" of CVs to scheduling interviews, but also conducting the interviews themselves. In fact, some employers claim that it is almost impossible to go through the process without this technology, especially when it comes to highly competitive ads, sent by hundreds or even thousands of interested parties, waiting for an immediate response.
As the demand for such services grows, the AI companies offering them are increasing. For example, the American company 'HireVue' offers tools, which help the employer to better evaluate recorded interviews. American Moonhub also searches the Internet for suitable candidates and helps recruit them faster. Of course, there are companies that offer tools with a more limited function, such as chatbots that collect basic information from candidates and answer their questions about the hiring process.
Australia's Sapia offers a more comprehensive system, as it usually conducts the first round of interviews via written responses, a method many find less stressful. Applicants must provide short answers of 50 to 150 words to questions about their skills and experience. The AI system then assesses and matches responses to specific character traits such as humility, critical thinking and communication skills, categorizing interviewees into specific personality types. Meanwhile, employers receive a list of the most suitable candidates for the position.
In addition to speeding up and making the process easier for employers, these tools are promoted as non-discriminatory because, unlike recruiters, they are not more or less influenced by gender, skin color and other such characteristics. However, some argue that AI systems can mimic the existing biases of the business world. For example, in 2018 Amazon stopped using an experimental AI tool after it was found to avoid hiring women based on words that appeared more often on women's resumes.