FINDHR Project

WIDE+ participation in Horizon Project “FINDHR” to prevent, detect, and mitigate intersectional gendered discrimination in Algorithmic hiring

For the past three years, WIDE+ has been part of a major European research and innovation project for an intersectional anti-discrimination approach contextualised within the technical, legal and ethical problems of algorithmic hiring, which can be applied to a broad class of applications involving human recommendation.

The project called FINDHR (Fairness and Intersectional Non-Discrimination in Human Recommendation) is a project funded by the EU framework programme Horizon Europe (grant agreement No 101070212) and unites 12 partner organisations in developing anti-discrimination methods, algorithms, and training for algorithmic hiring. WIDE+ is currently completing the final research report it was responsible to coordinate, which is a Participatory Action Research to document the perspectives and experiences with algorithmic hiring of people facing increased discrimination on the labour market. The call it falls under is: HORIZON-CL4-2021-HUMAN-01-24 (“Tackling gender, race and other biases in Artificial Intelligence”).

Read the WIDE+ coordinated and edited: ‘Participatory Action Research in Europe around Algorithmic Tools in Hiring Processes, Keywords Over Character: The Hidden Cost of AI Screening’: Download here the final PAR report.

Flagship Toolkits are ready, synthesising the FINDHR’s lessons learned

FINDHR has recently released three Toolkits for different target groups: Software Developers, HR Professionals and Policymakers, The toolkit for policymakers also targets civil society and each guide presents lessons learned and concrete recommendations aimed at tackling discrimination in AI assisted job recruiting. Obviously many links to further reading are provided, since the FINDHR is offering a lot of different resources.


Disseminating the new FINDHR toolkit for policy makers to policymakers

Over the course of October and November, WIDE+ engaged in dissemination efforts of the toolkit for policymakers: Just Hiring – How to counter discrimination in AI-assisted recruiting at the governance level.

All ten recommendations presented in the toolkit for policymakers were launched in a social media campaign via individual posts with a brief explanation of the policy recommendation in focus. All posts were shared on WIDE+’s Facebook, Instagram, LinkedIn and BlueSky accounts. Furthermore, WIDE+ reached out to over 270 Members of European Parliament and relevant offices, presenting the toolkit for policymakers in a summary format. And WIDE+ prepared a brief website article. We recommend both documents for those who want to quickly understand what key lessons and insights have been:

Reports and blog post available from FINDHR conference on 16 October 2026 

The closing conference of the FINDHR project took place on 16 October in Brussels and online. Two panels were held; the first, entitled “Designing a responsible AI-assisted hiring pipeline through alignment between recruitment, software development and interdisciplinary approaches”, explored how fairness to reduce discrimination can and should be built into every stage of AI-assisted hiring, tackling the technical, social and legal strategies to build a fairer and responsible recruitment process. A second panel reflecting on policy gaps and best practices was organised under the title “Refining Regulation, Policy and Governance for More Effective Mitigation of Intersectional Discrimination in AI-Assisted Hiring”. It focuses on the difficulties and opportunities for different oversight bodies, in particular equality and human rights bodies.

The WIDE+ interns Francesca Maddii and Masseni Keita each wrote a blogpost and report with reflections from the respective debates:

And the online roundtables in July 2025:

FINDHR EXPERT REPORTS n

In 2023, FINDHR made a call for proposals inviting submissions for research on discrimination affecting marginalized groups within Europe. Following a rigorous selection process, three distinguished experts were chosen. This was a process WIDE+ was closely involved in.

The Case for Latin American Migrants Seeking Employment Opportunities in Spain [download]
César Rosales, Nataly Buslón, Fabio Curi and Raquel Jorge (2023). Beyond the Algorithm: Expanding the understanding of fairness and non-discrimination in algorithmic hiring – The case for Latin American migrants seeking for employment opportunities in Spain. FINDHR Expert Reports.


Tracing Bias Transfer Between Employment Discrimination and Algorithmic Hiring with Migrant Tech Workers in Berlin. [download]
Lin, Jie Liang (2023). Tracing Bias Transfer Between Employment Discrimination and Algorithmic Hiring with Migrant Tech Workers in Berlin. FINDHR Expert Reports.

 

Ensuring Human Intelligence in AI Hiring Tools. By Paksy Plackis-Cheng, Tejo Chalasani, Sabrina Palme, et al. [download]
Paksy Plackis-Cheng, Tejo Chalasani, Sabrina Palme, et al. (2023). Ensuring Human Intelligence in AI hiring tools. FINDHR Expert Reports.