Project Details
Description
Continuing the work in our Grand Solutions project called 'Jobmatch', where we recommend relevant candidates to recruiters, we wish to generate recommendations for job seekers, but in line with the recently accepted EU AI Act, we want to focus on the fairness of the recommendations, both from a job
seeker perspective (does everyone get the
opportunities they deserve), but also from a company perspective (how can we mitigate the popularity bias
that occurs from jobs from popular employers like Novo for instance?). Balancing these different demands requires a multi-stakeholder approach to
fairness in job recommendation.
seeker perspective (does everyone get the
opportunities they deserve), but also from a company perspective (how can we mitigate the popularity bias
that occurs from jobs from popular employers like Novo for instance?). Balancing these different demands requires a multi-stakeholder approach to
fairness in job recommendation.
Acronym | FAIRMATCH |
---|---|
Status | Active |
Effective start/end date | 01/04/2024 → 31/03/2027 |
Collaborative partners
- IT University of Copenhagen
- Jobindex (lead)
Funding
- IFD - Innovation Fund Denmark: DKK1,242,000.00
Keywords
- Algorithmic hiring
- Job recommendation
- Fairness
- Recruitment
- HR tech
Fingerprint
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Press/Media
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AI-rekruttering skal nedbryde fordomme – ikke fastholde dem
Bogers, T., Kickbusch, J. & Kaya, M.
25/06/2024
1 Media contribution
Press/Media: Press / Media