Project "FINDHR"
Just Hiring! How to Reduce Discrimination when Using Algorithms in Recruitment
AI that pre-sorts job applications? As part of the Horizon Europe project “FINDHR,” we developed algorithms, methods, and training to reduce discrimination when AI is used in recruitment. Here are our findings.
Robert Báez / Fábrica Memética for FINDHR under CC BY 4.0
How can you select the right candidates from a large pool of applicants? Job application and recruitment processes are challenging and time-consuming – so the desire to automate part of the work is understandable. For example, algorithmic or AI-based systems enable recruiters to pre-sort resumes or to rank applicants. Such systems can, however, also reproduce discriminatory patterns – with this often going unnoticed – and making it more difficult for candidates to access the labor market.
In the project “FINDHR – Fairness and Intersectional Non-Discrimination in Human Recommendation”, we worked with an interdisciplinary European consortium from academia, industry, and civil society to develop solutions that counteract this type of discrimination.
The key findings and insights of the FINDHR research project have been compiled into three target group–specific toolkits. They provide well-founded background information and concrete recommendations on how to prevent algorithmic discrimination in recruitment.
This article is part of a project that has received funding from the European Union's Horizon Europe research and innovation program under grant agreement No 101070212. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
This work is supported by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 22.00151.
Read more on our policy & advocacy work on ADM in the workplace.