BIAS Project

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. 🤝

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. ❤️