BIAS - AI Capacity Building Training Event
15/04/2025
16/04/2025
About
The Capacity Building Training Event is a two-part online training designed to deepen participants' understanding of bias in AI-driven recruitment systems and equip them with tools to develop fair and transparent AI solutions. Through expert-led presentations, interactive discussions, and hands-on exercises, attendees will explore the psychological, sociotechnical, and regulatory dimensions of bias while applying Value Sensitive Design (VSD) principles to AI systems.
This training is ideal for:
- AI researchers, developers, and data scientists
- HR professionals and recruitment platform designers
- Policymakers and legal experts in AI governance
- Ethicists and social scientists interested in AI fairness
- Anyone keen to understand and mitigate bias in AI systems
Event Structure
Session 1: Understanding Bias and Its Impact on AI (3 hours) - 10:00 AM CEST, 15th April 2025
- Introduction & Icebreaker
- What is Bias? Psychological and sociological foundations, unconscious bias, self-reflection exercise
- AI and Fairness: Algorithmic discrimination, hiring bias, automation bias, case studies
- Policy & Legal Frameworks: AI Act, GDPR, anti-discrimination laws, ethical principles
Session 2: Designing Fair AI Systems (3 hours) - 10:00 AM CEST, 16th April 2025
- Applying Fairness Approaches: Critical review of fairness metrics, Case-Based Reasoning (CBR)
- Hands-on Design Challenge: Participants collaborate to create a prototype ranking tool using Value Sensitive Design (VSD) principles
- Discussion & Wrap-up
Key Takeaways
- A comprehensive understanding of bias in AI recruitment tools
- “Hands-on” experience in ethical AI design using VSD
- Insights into regulatory frameworks shaping AI governance
- Networking with experts and peers in AI fairness
Be part of a dynamic program that empowers you to understand, shape, and champion fair, inclusive and responsible AI practices. Don’t miss your chance to collaborate, innovate, and drive impactful change with AI in your field!
Date & Time
Apr 15-16, 2025 at 10:00 AM CEST
Agenda
Agenda 15th April
* All times are in Cental European Time (CET)
10:00
Welcoming and introduction
10:25
What is a bias? Psychological & sociological underpinnings and self-reflection exercise
11:05
Break
11:15
Socio-technical implications of AI and fairness approaches
12:15
The policy framework
12:55
Wrap-up and conclusions
Agenda 16th April
* All times are in Cental European Time (CET)
10:00
Welcoming and agenda of the day
10:05
Operationalising VSD and fairness approaches
10:35
The Value-Oriented Design Challenge: design your prototype - first part (Group work)
11:15
Break
11:25
The Value-Oriented Design Challenge: design your prototype - second part Group work & plenary session
12:55
Wrap up
Register Today
Speakers
Alexandre Puttick
Postdoctoral Researcher @ Berner Fachhochschule and Expert/Trainer @ Smart Venice
Alexandre Puttick is an accomplished AI researcher and lecturer specialising in Natural Language Processing, bias detection, and the design of fair and trustworthy AI systems. Currently a Postdoctoral Researcher at Berner Fachhochschule, he is actively involved in applied machine learning projects focused on mental health and bias mitigation in language models, contributing as a technical researcher to the EU Horizon Project BIAS. His academic journey includes interdisciplinary work at the Zürcher Hochschule der Künste, where he explored ethical implications of AI-aided decision-making through feminist theoretical frameworks.
An experienced educator, Alexandre has lectured extensively across Bachelor's and Master's programs, skillfully bridging complex technical concepts with practical applications. His research on bias detection frameworks and multilingual models for mental health text classification reflects his commitment to inclusive and ethical AI development.
Simona Lo Giudice
Researcher @ Torino University and Expert/Trainer @ Smart Venice
Simona Lo Giudice is an accomplished Data Scientist and AI Engineer specialising in Natural Language Processing and AI Ethics. With extensive experience in developing fair and trustworthy AI systems, she has been actively engaged in projects like HARMONIA, which enhances decision-making through Knowledge-Enhanced Large Language Models, and the Horizon Europe BIAS project, focused on mitigating diversity biases in AI-driven HR recruitment solutions.
Simona combines her deep technical knowledge with exceptional communication skills, making complex AI concepts accessible and engaging for diverse audiences. Her experience spans from developing innovative NLP models, to co-creation methodologies and data analysis.
