MatchingID´s module for non-biased diversity recruitment AI

Important results from the project

Our aim and objective were to develop and verify a commercial module, where the focus was on what an individual understands, can explain and defend in a group. This to increase efficiency and the degree of innovation. We have created a data collection method that maps perspectives in a way that a machine can understand and learn from. This means that we can offer a match where an organization can get suggestions for talents that match on skills AND have perspectives that the group today lacks.

Expected long term effects

We can now help companies broaden their recruitment selection and more easily find candidates with non-normative backgrounds that contribute to the company´s perspective density. Something that increases the chance of a fair labor market, as well as more efficient and innovative companies. The long-term ambition is that perspective wealth recruitment, which increases diversity without sticking to the surface, should become a new standard. We are not there yet, but this method is a significant step in the right direction.

Approach and implementation

First we worked out how perspectives can be mapped with the help of diversity experts and employees, then how these can be converted into data that can be used for machine learning from a technical perspective. Then we consulted with HR managers and others on which perspectives are most relevant to companies today. Based on the insights in this phase, we chose to make a narrower, but deeper module than we initially intended; focusing on the perspective that the commercial market was ready for “Market Specific Perspective Richness Module”.