Our system uses a multi-level, custom-built approach to ensure higher accuracy in identifying the best candidate fit while maintaining a fair and unbiased process.

Key features include:

• A multi-level screening system for enhanced accuracy.

• Fairness algorithms to minimize bias in decision-making.

• High-volume processing capabilities powered by an in-house load balancer.

• Integration with various ATS providers for seamless operation.

• Customization for different job roles and industries.

No, our AI streamlines the initial screening process but doesn’t replace human involvement. Recruiters are still essential for evaluating candidates in later stages of the recruitment process.

Regulators worldwide, notably the EU, California, Colorado, and New York City, have homed in on a key ethical weakness in AI talent screening tools currently on the market: lack of transparency. AI screening tools overwhelmingly operate as a "black box". The AI's reasoning behind ranking and selection of candidates is a mystery, not made available to hiring managers and recruiters, let alone candidates. These "black boxes" have been shown in ongoing litigation to mask biased and discriminatory decision-making processes within the AI algorithm, causing widescale compliance failures, PR catastrophes, and even class-action lawsuits. To ensure compliance with equal opportunities laws and evolving AI legislation mandating transparent selection processes, choosing the right AI screening tool is crucial. Unlike other AI screening tools where compliance can be an afterthought, MeVitae's Ethical Talent Screening is purpose-built with ethics in mind. As part of this, key transparency is offered at the scoring and ranking stage. Since, the hiring team controls the questions that the AI asks itself based on the résumé/application to determine a candidate's fit (e.g., "Have they worked in an S&P 500 company?" or "Do they have experience with Python?") and chooses the weight of such questions according to their importance, MeVitae's Ethical Talent Screening scoring AI is able to provide precise reasons behind a lower score for a candidate by answering "yes" or "no" to those questions (answers can be manually edited by the hiring team). This reasoning is automatically available to the hiring team and can be tailored to be sent to unsuccessful candidates to the level of detail desired or required by law.