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

Join the event and register today!

Apr 15-16, 2025 at 10:00 AM CET


Register for event



If you can't make it to this one check all our events to find a future event.

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.