MatchingID´s module for non-biased diversity recruitment AI
Purpose and goal
Develop and verify a commercial module for ”unprejudiced diversity recruitment”. Where focus is what one can understand, explain and defend in a group to ensure a higher level of efficiency and innovation. Creating a data collection method that maps perspective in a way a machine understands and can learn from, and an algorithm that "unmatches" based on this. Organizations can then, in MID, state perspectives they have in current teams and through AI get talent suggestions with relevant skills AND perspectives they today lack.
Expected results and effects
Enable companies to broaden their recruitment selection and find candidates with non-normative backgrounds, which increases the chance of diversity and equality in the labor market. We aim to build something that gives all people, regardless of age, sex, ethnicity, etc. the opportunity to be recruited based on personal perspectives. It reduces discrimination in the labor market (regardless of bad or good intentions) while ensuring the best possible outcomes for recruiting companies. The ambition is that MID´s approach, with the diversity module, will be a new standard.
Planned approach and implementation
Firstly we figure out how perspectives can be mapped for market needs/machine learning, through research and expertise, and check this against relevant research/technology. Secondly, in consultation with HR managers etc., we investigate what perspectives are relevant and make a selection of perspectives from talent, market and technology perspectives. After that we program the diversity module based on results from Activity 1 and 2. Finally, in consultation with the market, we verify the product, method and packaging.