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:
📜 Official Certificate
📖 Companion Book
Start here: https://t.co/OMjLm9yqVI
@NTNU, @bfh_hesb, @bfh_digital, @UniLeiden, @digiotouchai, @ETUI_org
If an AI filtered your CV, a simple "no" isn't enough. As algorithms increasingly shape hiring, candidates must demand transparency, explainability, and accountability.
Learn more: https://t.co/AYc6i4CtUD
Your name is a small detail on your CV. To an AI recruiter, it might be the most revealing. 📄🤖
Do algorithms predict success, or just repeat past biases? Explore the reality of hidden signals in our new article: https://t.co/9KIRdz3Sfq
Today is International Equal Pay Day and while we discuss closing current wage gaps, we must also look at how past inequalities might shape the digital labour market.
We empower AI & HRM communities to mitigate algorithmic biases.
https://t.co/AYc6i4D1Kb
That is a wrap on the BIAS Final Conference in Leiden! 🎉
What a success. We brought together an incredible diversity of experts to discuss the challenges and opportunities of fair, inclusive AI recruitment.
Read our full event recap here: https://t.co/bkG1VBhRWA
That is why transparency, fairness, and human oversight are critical. At the BIAS Project, we are developing solutions to mitigate algorithmic bias and build a truly equitable digital labour market.
Learn more about our mission here:
https://t.co/AYc6i4CtUD
AI makes hiring faster, but is it making it fairer?
Recruitment decisions aren't just made by humans anymore. If an automated system learns historical biases, it can unfairly exclude brilliant, diverse talent.
Ready to see fair AI in action? 🚀⚖️
Join us at the BIAS Final Conference! Catch Soumya Kanti Datta (@digiotouchai) demoing an AI-native recruitment platform. It automates CV parsing & scheduling, with bias mitigation built-in to align with the EU AI Act.
👉 https://t.co/sMYXuAFkoB
Our team is offline, but the digital labour market keeps moving.
Use the quieter summer months to upskill!
Enrol in our FREE, self-paced course on Responsible AI in Recruitment. Earn your certificate & free book today. 🎓
🔗https://t.co/86PtygM7sR
In the realm of AI recruitment, two houses are rising. ⚔️🐉
🔴⚫ Fairness: Transparency, inclusive data & human oversight.
🟢🟡 Bias: Black-box systems & automated exclusion.
At BIAS, we believe that fairness must sit on the throne. Choose your side.
Can positive context reduce AI bias? 🤖
Our new paper tests GPT models in German & Icelandic, revealing that bias is deeply shaped by language. English-centric fixes are not enough for a fair digital workforce.
Read the study: https://t.co/ZDKrctB66L
Whilst recruiters are at the beach, who watches the AI? 🏖️
Algorithms don't take annual leave and neither does bias. Unchecked CV screeners risk quietly filtering out diverse talent 24/7.
We work to make HR tech fair by design.
Learn more: https://t.co/AYc6i4D1Kb
📢 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. ⏳
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. ⚽
AI 'referees' like automated CV screeners risk unfairly sidelining diverse talent. We’re working to mitigate algorithmic bias & level the digital labour market.
We’re changing the game: https://t.co/K0IvDxTb5A
Welcome to the BIAS NLP Demonstrator Hub! 💻
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 We are ready for next week, @Crowdhelix 🤝 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