Descrizione del progetto
Mitigazione dei modelli distorti basati sull’IA nel mercato del lavoro
Un recente studio Sage suggerisce che il 24 % delle aziende ha utilizzato l’Elaborazione del linguaggio naturale in applicazioni impiegate dalla Gestione delle risorse umane. L’Elaborazione del linguaggio naturale si basa tuttavia su modelli parziali. In un contesto occupazionale, ciò potrebbe portare a decisioni parziali contrarie agli obiettivi del Pilastro europeo dei diritti sociali e degli Obiettivi di sviluppo sostenibile delle Nazioni Unite. Il progetto BIAS, finanziato dall’UE, indagherà e mitigherà i pregiudizi sulla diversità dell’IA nel mercato del lavoro. Il progetto svilupperà una prova di concetto per una tecnologia innovativa fondata sull’Elaborazione del linguaggio naturale e sul Ragionamento basato sui casi da utilizzare in un caso d’uso di selezione delle risorse umane.
Obiettivo
Artificial Intelligence (AI) is increasingly used in the employment sector to manage and control individual workers. One type of AI is Natural Language Processing (NLP) based tools that can analyze text to make inferences or decisions. A recent Sage study found that 24% of companies used AI for hiring purposes. In an employment context, this can involve analyzing text created by an employee or recruitment candidate in order to assist management in deciding to invite a candidate for an interview, to training and employee engagement, or to monitor for infractions that could lead to disciplinary proceedings. However, the models that NLP-based systems are based on are biased. Additionally, it has been shown that bias in an underlying AI model is reproduced in applications based on that model). This can lead to biased decisions that run contrary to the goals of the European Pillar of Social Rights in relationship to work and employment, specifically Pillar 2 (Gender Equality), Pillar 3 (Equal Opportunity), Pillar 5 (Secure and Adaptable Employment) and the United Nations’ (UN) Sustainable Development Goals (SDGs), specifically SDG 5 (Gender Equality), SDG 8 (Decent Work and Economic Growth). It is therefore necessary to identify and mitigate biases that occur in applications used in a Human Resources Management (HRM) context. Addressing such concerns in an employment context is especially relevant, as most existing European studies on employment discrimination have indeed found that discrimination exists, both when considering individual diversity criteria and multiple criteria in intersectional analyses. In order to investigate and mitigate these biases, we apply this “BIAS”-project, for mitigating diversity biases of AI in the labor market. The chief technical objective of BIAS is the development of 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.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesdata sciencenatural language processing
- social sciencessociologysocial issuessocial inequalities
- social sciencessociologygender studiesgender equality
- social scienceseconomics and businessbusiness and managementemployment
Parole chiave
Programma(i)
Meccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
7491 Trondheim
Norvegia