BIAS Project

Recruitment AI promises speed and efficiency, but myths about its “objectivity” can quietly shape who gets a chance, even before a human ever reviews a CV. 🤖

At the BIAS Project, we empower HR professionals and tech developers to challenge these assumptions.

By busting AI myths, we are shaping hiring processes that are transparent, fair, and truly celebrate diverse talent. 🤝

We are moving beyond simply identifying bias. 🚀

It is time to bridge the gap between human rights and machine learning by bringing together the brightest minds in HR, tech, law, and civil society to build an equitable future.

Be part of the BIAS Final Conference: Mitigating Diversity Biases of AI in the Labour Market, where we will explore the future of the AI-powered workforce together. 🔍

Don’t miss out!
https://biasconference.zohobackstage.eu/MitigatingDiversityBiasesOfAIInTheLabourMarket

We are proud to announce that the BIAS Project is featured in the latest issue of the Project Repository Journal (Volume 26, April 2026), published by the European Dissemination Media Agency (EDMA)! 📖

In this feature, we delve into our primary goals: addressing and mitigating algorithmic biases in artificial intelligence and human resources management. The article also highlights some of the key activities we’ve been developing to build inclusive and fairer recruitment systems across the labour market.

If you’d like to learn more about our progress and how we are working towards ethical AI, you can read the full article here:
👉 https://edition.pagesuite-professional.co.uk/html5/reader/production/default.aspx?pubname=&edid=33d4f20f-f9a9-48db-a554-7e0383cd5ad0&pnum=74

A special thank you to the European Commission and the State Secretariat for Education, Research and Innovation SERI for supporting this crucial work. Together, we are helping to ensure that technology serves its true potential. 💡

🪝 If it's not in the standard, it doesn't exist. Time to change that.

Tomorrow, the BIAS Project joins the Innovation Standardisation Workshop organised by Eloquence AI — and we're coming with something specific to say.

Represented by our partner Digiotouch AI, we will be presenting our work to an audience of AI standards experts and representatives from standards development organisations (ISO/IEC SC 42, CEN/CENELEC JTC 21, NIST, ETSI).

Our focus? A gap that's still largely invisible in current AI standardisation efforts:
🔍 Bias in NLP decision systems used in recruitment and employment — not conversational AI, but the text-based tools that quietly shape who gets hired, shortlisted, or screened out.

At BIAS, we develop open-source tools and methodologies to detect and mitigate algorithmic bias in exactly these systems. Two of our most concrete outputs, the Debiaser and the multilingual NLP Demonstrator, are directly relevant to a gap no other participating project covers.

This is what cross-project standardisation work should look like: each project bringing its unique domain to the table, together building a fuller picture. 🤝

What do the Artemis Moon mission and the future of hiring have in common?

✨Diversity ✨

Artemis returned from the Moon with history’s most diverse crew yet, proving that multiple perspectives build the best missions!

At BIAS, we apply this exact logic to AI. We build inclusive, fair recruitment systems that help companies spot brilliant candidates from everywhere. Mitigating bias to let true talent shine. 🚀

How do you imagine AI in your workplace? 🤖👩🏻‍💻

Too often, the conversation swings between extremes.
A future of perfectly fair, efficient hiring; or a workplace defined by surveillance and replacement.

But what if these narratives are not just opinions but forces shaping reality?

In her latest article, "Imagining AI at work: The impact of polarised imaginaries on AI use in human resources management", published in the Journal of Workplace Learning, Silvia Ecclesia (PhD researcher at NTNU - Norges teknisk-naturvitenskapelige universitet) explores how these “polarised imaginaries” influence the way HR professionals understand, adopt, and trust AI systems.

Read the full article here: https://www.biasproject.eu/press_corner/imagining-the-future-of-ai-at-work-a-new-research-from-silvia-ecclesia/

Haven’t signed up for the BIAS e-learning course yet? 📚💻
The course “Shaping Responsible and Inclusive AI in Recruitment: A Capacity-Building Journey” helps bridge the transparency gap in AI-driven hiring.

Learn how AI shapes hiring, explore bias in recruitment systems, and gain practical tools to build fairer technology.

Free, self-paced, and with a certificate at the end. 🎓
Start your learning journey today.
👉 https://skills.digiotouch.ai/courseview/shaping-responsible-and-inclusive-ai-in-recruitment/

Fairness at work doesn’t start in recruitment. It starts with people.
With workers who stood up against long hours, unsafe conditions, and unfair treatment.

International Workers’ Day is a reminder that the rights we talk about today were fought for and must continue to be protected. ✊

As technology becomes part of hiring and workplace decisions, the responsibility remains the same: to ensure fairness, dignity, and equal opportunities for everyone.

At BIAS, we believe that building fair AI means continuing this legacy. ❤️

Join us in Leiden 🇳🇱 for the BIAS Conference: Mitigating Diversity Biases of AI in the Labour Market.
📅 2–3 September 2026
📍 Universiteit Leiden / Leiden University, The Netherlands

Across two days, researchers, policymakers, AI developers, HR professionals, and civil society organisations will come together to discuss how AI is reshaping the labour market and how we can ensure these technologies remain fair and inclusive. 🤖

Expect discussions, research insights, Q&A sessions, and networking opportunities with the BIAS community. 🤝

Register here:
🔗 https://biasconference.zohobackstage.eu/MitigatingDiversityBiasesOfAIInTheLabourMarket

Between 14–16 April, BIAS joined the Digital Transformation Summit in Funchal, Madeira! 🇵🇹✨

The project was represented with a booth throughout the event, and our partner Debolina Paul from Digiotouch AI contributed to the workshop Human-Centric AI for European Innovation: Ethics, Resilience and Real-World Impact. During the session, she presented the BIAS project and discussed how AI tools can empower citizens and businesses while helping reduce bias in recruitment. 🤝

Events like this are key to connecting research, policy, and industry in shaping a fairer digital future. 🌍