Recruiting

Personnel search without bias, the role of Ai in ensuring fair and inclusive selection

nCore Hr, the technology that helps avoid unconscious bias, reporting only objective information, ensuring fair and inclusive recruiting that values merit

Digitale: il futuro dell’AI a Reply Xchange 2025

3' min read

3' min read

So much for unconscious biases that can unintentionally influence the personnel selection process. A badly asked question, a stereotyped phrase, can be enough to discourage certain categories of candidates from participating in the selection process, thus reducing the diversity of talent that applies. Thanks to artificial intelligence, it is possible to break down these constraints, making selection more transparent and meritocratic: nCore, a tech company founded by Enrico Ariotti and Aldo Toja, proposes an advanced Ai Ranking technology, which makes it possible to carry out a true 'blind' selection: curricula are purged of all sensitive information such as gender, age, ethnicity, disability or neurodiversity, so as to focus the assessment exclusively on experience, training and skills. "We designed nCore HR to be truly inclusive and transparent. We believe in a technology that does not replace the human being, but helps him to choose better, faster and without bias. Because every great company starts with the right people," explains Enrico Ariotti.

Valorising merit

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The nCore Hr technology goes beyond classic keyword matching systems: it thoroughly analyses the consistency of the profile with the position sought, taking into account factors such as years of experience in similar roles, sector of origin, educational background and the use of specific tools. In addition, the system is also able to identify, among the candidates already in the company's databases, those who may be suitable for other open vacancies, thus offering a more complete and efficient overview. The final objective is simple and ambitious at the same time: to guarantee fair and inclusive recruiting, based on objective data, and capable of enhancing merit, thus minimising the influence of preconceptions and unconscious discrimination.

 

"An effective and meritocratic recruiting process makes it possible to enhance real skills, guaranteeing equal opportunities to all candidates, regardless of gender, age or origin,' comments Enrico Ariotti, founder of nCore. 'We have designed nCore HR to be truly inclusive and transparent, able to help companies recognise talent where it is, even when it does not correspond to traditional models. We believe in a technology that does not replace the human being, but helps him to choose better, faster and without distortion. Because every great company starts with the right people".

 

Job description plus inclusive

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A study published in Forbes and Harvard Business Review showed a significant gender difference in application behaviour: while men tend to apply even if they only meet 60% of the requirements, women only do so when they reach 100%. This shows how language can influence candidate behaviour and underlines the importance of more inclusive job descriptions. To address this need, nCore HR has developed a function that automatically optimises the language of job advertisements, suggesting more inclusive and less discriminatory alternatives.

Ai Soft Skills Fit

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And there is something new coming to nCore HR: the new AI Soft Skills Fit function, which will be able to guarantee a selection process in which each candidate is assessed through a customised process, analysing the candidates' answers and creating a dedicated experience for them. Starting with the results of a quick psychometric test filled in by the candidates, AI elaborates in-depth questions on the skills highlighted in the profile, providing both recruiters and candidates with a detailed analysis of the soft skills present as main or secondary traits. Skills such as assertiveness, curiosity, result orientation, altruism, and others are then compared with the requirements of the job description to allow recruiters to make more informed decisions, ensuring that each candidate is assessed holistically not only on the basis of previous experience but also with respect to potential for the role.

 

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