Our AI enables each candidate to be matched based on their job experiences to date, and their qualifications for the role, so that all candidates are provided a fair and equitable evaluation. It does use any Personal Identifiable Information such as the name, diversity profile, location, in the matching process. (depending on the clients job requirements).

We have a team of experts in AI bias to monitor and train our client’s algorithms. We feel the most important component of mitigating bias is to identify and eliminate the bias data from the beginning of the process – this way the AI does not learn from past discrepancies. To further mitigate these biases, diversity data regarding the candidates can be added into the AI/ML validation process to act as a further audit. Of course, the recruiter is still the final decision maker, the AI will only recommend and rank candidates during the process.