13th November 2025
📆 Date: 13.11.2025
🌍 Location: 42 Maslak, Sariyer, Istanbul, Türkiye
👨🏻💻 Format: In-person
⏳ Time: 09:00 – 16:30 (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 AI specialists, HR professionals, legal experts, IT leads, civil society actors, diversity and inclusion officers, and trade unionists 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: Explore real-world examples of AI’s impact on recruitment, learning from successes and biases.
💠Hands-on practice: Gain experience with AI algorithms, focusing on fairness and bias reduction.
💠Collaboration: Work with AI specialists to refine ethical practices and ensure transparent, unbiased recruitment systems.
Content | Duration |
Welcoming and introduction | 09:00-09:25 |
What is a bias? Psychological & sociological underpinnings and self-reflection exercise | 09:25-09:55 |
Sociotechnical implications of AI and fairness approaches | 09:55-10:55 |
Break | 10:55-11:05 |
Mutual Learning Session | 11:05-11:35 |
The policy framework &
Conclusions of first session |
11:35-12:05 |
Lunch break | 12:05-13:05 |
Welcoming of second session & Operationalizing VSD and fairness approaches | 13:05-13:35 |
The Value-Oriented Design Challenge: design your prototype — first part | 13:35-14:10 |
Break | 14:10-14:20 |
The Value-Oriented Design Challenge: design your prototype — second part | 14:20-15:20 |
Plenary Session | 15:20-15:50 |
Wrap up, ex post questionnaire, and conclusions | 15:50-16:00 |
Networking session (optional) | 16:00 – 16:30 |