📋 Tender Overview
Mitigating Diversity Biases Of Ai In The Labor Market
Mitigating Al-Based Biased Models In The Labour Marketa Recent Sage Study Suggests That 24 % Of Companies Used Natural Language Processing (Nlp) In Applications Applied By Human Resources Management (Hrm). However, Nlp Relies On Biased Models. In An Employment Context, This Could Lead To Biased Decisions That Run Contrary To The Goals Of The European Pillar Of Social Rights And The United Nations (Un) Sustainable Development Goals (Sdgs). The Eu-Funded Bias Project Will Investigate And Mitigate The Diversity Biases Of Ai In The Labour Market. The Project Will Develop A Proof-Of-Concept For An Innovative Technology Based On Natural Language Processing (Nlp) And Case Based Reasoning (Cbr) For Use In An Hr Recruitment Use Case.
Funded Under
Digital, Industry And Space
Total Cost
€ 3 796 065,00
Eu Contribution
€ 3 498 525,25
Coordinated By
Norges Teknisk-Naturvitenskapelige Universitet Ntnu
Norway
Start Date
1 November 2022
End Date
31 October 2026
