Background
Artificial intelligence (AI) has a wide range of uses in business, including the improvement of job processes and computation of data or systematic recruitment procedures. AI is increasingly used in employment to manage and control individual workers. A recent Sage study found that 24% of companies used AI for hiring purposes. In an employment context, this can involve analysing text created by an employee or recruitment candidate to assist management in deciding to invite a candidate for an interview, training and employee engagement, or monitoring for infractions that could lead to disciplinary proceedings. Bias in an underlying AI model can be 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 relation 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).
Key Project: BIAS
BIAS - Mitigating Biases of AI in the Labour Market is a 48 month Horizon Europe project that aims to 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. This technology will be built after extensive consultation and co-creation with stakeholders who have experienced bias in HRM (Human Resources Management) practices (employees, employers, and developers) or oversee HRM, as well as AI experts and practitioners, to gain a nuanced understanding of what constitutes bias, how bias has been experienced, and how it can be mitigated through both technical and non-technical means.
Helix Ecosystem
The Trustworthy AI Helix is an international Open Innovation community of specialists in artificial intelligence, bias and ethics in AI and related disciplines. Researchers, developers, HR managers, national/EU-level policy makers, civil society and participants of other relevant projects and relevant actors across Europe/the world are invited to join the Helix.
The Trustworthy AI Helix was launched as a focus for impact and dissemination services in support of the BIAS project's ambition to foster a truly collaborative ecosystem. In achieving this ambition, BIAS will contribute towards mitigating diversity biases of AI in the labor market.
This project has received funding from the European Union’s Horizon Europe research and innovation programme under the Grant Agreement 101070468.
Funded by
the European Union
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BIAS Project
Marco Lopes
"NTNU is proud to lead the Trustworthy AI Helix. As AI is increasingly used in many parts of society, it is critical to understand what constitutes bias, how discrimination and exclusion have been experienced, and how it can be mitigated."
