25th November 2025
📆 Date: 25 – 26.11.2025
👨🏻💻 Format: Online
⏳ Time: 09h – 12h10 (local time)
📢 Language: English
🏅 Certification: Certificate upon completion
How can we build fairer recruitment practices in the age of AI?
From automating CV screening to predicting “fit,” AI is transforming how people are hired. But with this transformation comes a new responsibility: ensuring that algorithms do not reinforce discrimination or undermine workers’ rights.
This free, certified session by the BIAS Project brings together HR professionals, civil society actors and trade unionists, and AI specialists to explore how we can make recruitment ethical, inclusive, and transparent — from both a social and technical perspective.
✅ Understand how AI shapes recruitment practices and impacts both candidates’ and workers’ rights — no technical background required
✅ Recognise and address algorithmic bias and discrimination risks in hiring processes
✅ Apply legal frameworks like the GDPR and AI Act to ensure fairness, transparency, and accountability
✅ Design, evaluate, and advocate for responsible AI systems using ethical approaches such as Value Sensitive Design (VSD)
✅ Explore bias detection and mitigation strategies to improve equity in automated decisions
✅ Strengthen your organisation’s ability to monitor, influence, and lead on ethical AI adoption
✅ Collaborate across sectors and exchange experiences in an open, supportive space — with a free, delicious meal included!
💠Case studies: Review real hiring situations where AI influenced candidate selection, and discuss what went wrong (or right).
💠Bias awareness: Reflect on how unconscious bias can affect shortlisting, interviews, and final decisions.
💠Hands-on practice: Try out AI-based tools and learn how to use them fairly in your recruitment process.
Day 1
Content | Duration |
Welcoming and introduction | 09:00-09:25 |
What is a bias? Psychological & sociological underpinnings and self-reflection exercise | 09:25-09:55 |
Elements of AI | 09:55-10:35 |
Break | 10:35-10:45 |
Ethical and social implications of AI in terms of bias | 10:45-11:10 |
The policy framework | 11:10-11:40 |
Mutual Learning Session
& Conclusions first session |
11:40- 12:10 |
Day 2
Content | Duration |
Welcoming and agenda of the afternoon | 09:00-09:10 |
AI in recruitment: existing tools and systems, and case studies of bias in recruitment using AI | 09:10-10:10 |
Break | 10:10-10:20 |
Challenging AI – A group exercise | 10:20-11:20 |
Plenary Session | 11:20-11:50 |
Wrap up, ex post questionnaire, and conclusions | 11:50-12:00 |