Join us in @UniLeiden π³π± for the BIAS Conference: Mitigating Diversity Biases of AI in the Labour Market.
π 2β3 September 2026
π Leiden University, The Netherland
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. π€
Expect discussions, research insights, Q&A sessions, and networking opportunities with the BIAS community. π€ @UniLeidenNews
Register here:
π https://t.co/hPPXVhTCG0
π’ Skills must speak louder than algorithms.
This World Youth Skills Day, we are working to ensure CV screeners don't turn young talent into a statistical blind spot. The BIAS Project works to mitigate algorithmic HR bias, ensuring CV screeners judge capability, not background.
The countdown is on. β³
After 4 years of research, we present our grand finale: The BIAS Conference in Leiden (NL), 02-03 Sep.
We are bringing AI developers, HR leaders & policymakers together to translate ethical AI theory into workplace practice.
Register: https://t.co/hPPXVhUavy
@UniLeiden@eLaw_Leiden@UniLeidenNews
In the game of hiring, bias shouldn't dictate who gets on the pitch. β½
AI 'referees' like automated CV screeners risk unfairly sidelining diverse talent. Weβre working to mitigate algorithmic bias & level the digital labour market.
Weβre changing the game: https://t.co/K0IvDxTb5A
AI is making hiring decisions behind the scenes. Find out how to make it fair for everyone.
Enrol in our FREE, self-paced online course: Shaping Responsible & Inclusive AI in Recruitment.
You receive:
π Official Certificate
π Companion Book
Start here: https://t.co/OMjLm9yqVI
@NTNU, @bfh_hesb, @bfh_digital, @UniLeiden, @digiotouchai, @ETUI_org
Welcome to the BIAS NLP Demonstrator Hub! π»
Explore our latest developments in bias detection & mitigation for Natural Language Processing. Dive into dataset analysis frameworks & prompt mitigation strategies for language models.
Access it here: https://t.co/wxUWxYDF8Z
@Crowdhelix Thank you for the continuous support, @Crowdhelix. Mascha and the rest of the team are prepared to share our research with your network. π
@Crowdhelix We are ready for next week, @Crowdhelix π€ Thank you for hosting our team to share the online course and the recruitment platform demonstration.
Sleek interface. Smart technology. Old bias.
Real-world tests show AI can amplify historical prejudice based on names or behaviour. Explore 3 major case studies and learn to mitigate bias in our free e-learning course.
Enrol here: https://t.co/86PtygM7sR
@Crowdhelix We are counting down the days, Crowdhelix. β Thank you for hosting this space for our team to share our research and practical solutions π€
New booklet! π "The Unwritten Rules: Mapping Bias, Power, and Human Judgement in Europeβs Algorithmic Labour Market" explores AI bias in Europe's labour market through the lived experiences of applicants & recruiters.
Read it here:
https://t.co/Z1FSbfNegC
@NTNU
How do we ensure AI hiring standards actually protect people, rather than just hitting technical benchmarks?
That was the question at #CPDP2026! π€
The BIAS Project was out in full force, with @eduardfosch speaking on the "Toward a standard for fair AI-driven recruitment" panel, moderated by Frida Englund Sandvik (@NTNU). Our mission: pushing standardisation past rigid metrics and toward deep, real-world protections.
Here's to keep building fairer tech! ππ»
@CPDPconferences
Happy #PrideMonth! π
True #inclusion must extend to the digital realm. #AISystems trained on #biased data can easily automate historical prejudice in #recruitment. We are working to mitigate algorithmic #bias and build a fairer labour market for all.
Learn more: https://t.co/K0IvDxSDg2
#LGBTQIA #BiasProject #inclusion #equality #fairness #artificialintelligence #ethicalAI #trustworthyAI #HR #futureofwork #HorizonEU
@Crowdhelix Thank you for hosting this session @Crowdhelix π€ We are very proud to see our partners sharing our online course and practical tools with your community.
Find out how to stop automated hiring tools from supercharging the very biases we are trying to break down.
Join our partners Maria Giovanna Zamburlini (SVEN), Mascha Kurpicz-Briki (@bfh_digital), and Soumya Kanti Datta (@digiotouchai) in this session and turn compliance into real labour market equity.
https://t.co/gopQPuZOAH
3 months to go! β³ We've reached the grand finale of our deep dive into AI & workplace fairness.
Join our final event for a critical dialogue on fairness, accountability & governance in AI-enabled labour practices.
Register: https://t.co/GGq8VaLkYI
Recruitment AI promises efficiency, but myths about its βobjectivityβ can quietly shape who even gets a chance. π€
The BIAS Project empowers AI developers and HR professionals to spot hidden bias, challenge assumptions, and build hiring processes that are transparent, fair, and accountable.
We are moving beyond spotting bias to actively fixing it! π
Join the BIAS Final Conference: Mitigating Diversity Biases of AI in the Labour Market to explore the future of the AI-powered workforce together. π @UniLeiden
Don't miss out!
https://t.co/GGq8VaLSOg