With the introduction of Artificial Intelligence (AI) in recruitment, skeeled aims to empower recruiters with the benefits of AI without losing the value of human touch. The application of this technology innovations that use AI to recruitment functions is designed to automate some parts of the recruiting process, especially repetitive and high volume tasks.
Artificial Intelligence is set to become a vital part of the recruitment world in the upcoming years, giving companies an edge when it comes to streamlining their processes and helping recruiters connecting to top talent faster.
Responsible AI is an effort to ensure that AI-based solutions are fair, unbiased, transparent, secure, and private. This is a very important topic for skeeled, which is why we have our own Responsible AI program.
The data we use to train our predictive models is built upon the historical decisions of a diverse team of human experts with specific anti-bias formation and is carefully handled in a way that all demographic information is removed and terminology is uniformised to ensure that new automated decisions are unbiased.
Moreover, our dedicated team of inter-disciplinary experts periodically monitors and reviews the AI-based decisions for bias and fairness and makes corrections if needed.
skeeled employs AI in different parts of the recruitment process, through tools like the Pre-screening, the Ranking of applicants, and the brand new features Internal Talent Pool and Feedback to the Recruiter. Other AI-based features in development include a tool that helps disambiguating job descriptions before they are published.
At the centre of all these tools is a knowledge base of occupations, experiences, education, and skills, extended from international standards, which we use in conjunction with natural language processing (NLP) techniques to harmonise recruiter and applicant terminology and to extract the true competencies of applicants.
skeeled’s AI-based tools also use different machine learning algorithms that are periodically retrained and whose outputs are carefully monitored in order to guarantee correctness and fairness.
The pre-screening allows reducing the number of applicants for a given job, by rejecting those that are clearly not a fit and by accepting the others to further analysis. skeeled’s pre-screening is a machine learning, NLP enabled tool that produces an automated binary decision, accept/reject. In order not to reject an applicant that could be a fit for the job, we put extra care in this tool and regularly monitor and revise the automated decisions. Moreover, as we are true supporters of the human in the loop paradigma, we allow recruiters to review and requalify any applicant that was rejected by the tool.
NLP (Natural Language Processing) is another branch of AI. It refers to the process in which machines are able to understand, represent and generate human language, and therefore is deeply connected to the study of linguistics.
Our recruitment software is all about understanding job descriptions and CVs in a multi-language environment, where different terminology is denoised, normalised, and checked for bias, and therefore NLP is used throughout all our AI-based tools.
