ai.r’s Match Scoring Policy

We are committed to building ethical AI technologies that are reliable and treat candidates fairly by mitigating bias. This includes regular testing, providing transparency for candidates, training for our customers and a feedback process for continual improvement.

How match scoring works

ai.r’s match scoring process extracts the relevant skills and requirements for each role based on the job information provided by customers. This includes both information that is shared publicly and information that is kept private.

When a candidate applies for a role, our system reads your CV and extracts relevant information such as job titles, work experience, skills, education, name, email, marital status and date of birth (this is known as parsing). ai.r then compare each candidates experience against the information extracted from the job description. The more similar candidates experience to the overall job requirements, the better the match.

ai.r ranks every candidate upon application from 0% to 100% relevancy which is shown to the hiring team along side a summary of your experience, salary expectation (if requested), notice period (if requested) and their CV.

All candidates are shown to the hiring team and ai.r makes not automated decisioning about who is progressed, these decisions are always made by the hiring team.