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

Citizen Science and Artificial Intelligence Technologies: Collaborating for an Innovative and Unbiased Future


Mon, Oct 9, 2023 02:00 PM - Thu, Feb 9, 2023 03:40 PM


“Citizen Science and Artificial Intelligence Technologies” is an online webinar that aims to bring together the power of citizen participation and the potential of emerging technologies.In this era of rapid technological advancements, citizen science provides a unique opportunity to engage individuals from diverse backgrounds in scientific research and innovation. By involving citizens in data collection, analysis, and problem-solving, we can tap into the collective intelligence of the crowd, accelerating scientific discovery and fostering a deeper understanding of our world.Interdisciplinarity in these areas unlocks new possibilities for addressing complex challenges in areas like the labour market, environmental conservation, public health, and urban planning. This collaboration enables harnessing the power of technology to amplify the impact of citizen-driven initiatives, facilitating real-time data collection and data sharing. At the same time, practices and methodologies inspired by citizen-science can be used to consult and engage users and stakeholders in AI research, and make sure computer scientists get input and feedback that contribute to increasing inclusiveness and trustworthiness of the systems they design.This webinar is a combined effort of the TIME4CS and BIAS projects, bringing together the Citizen Science Helix and the Trustworthy AI Helix communities.

BIAS Project