Tackling Bias in AI Recruitment: Insights from the BIAS Project
06/30/2026
About
Artificial intelligence is increasingly shaping hiring decisions across Europe — but what happens when AI systems reflect or reinforce the very biases we seek to eliminate?
This event brings together researchers, technologists, and practitioners working at the cutting edge of responsible AI in recruitment. Drawing on the work of the BIAS project — a Horizon Europe-funded (Grant agreement ID: 101070468) initiative combining technical, social science, and legal perspectives — the session will explore how bias in AI and large language models can be detected, measured, and mitigated in real-world HR applications and provide concrete capacity building tools.
Attendees will see a live demonstration of an agentic recruitment platform developed as a proof-of-concept, gain insight into the latest technical developments in bias detection and mitigation across multiple European languages. Furthermore, the BIAS a free, self-paced and certified e-learning course will be introduced: the course is designed to build capacity across a wide range of professional profiles and it is can be a useful tool for employers/organizations to comply with the AI Act regulatory requirements on fostering AI literacy of employees, at least as far as HR/IT staff and Trade Unions representatives are concerned.
All in all, whether you work in HR, AI development, product management, policy, or civil society, this session offers practical insights and tools to help you engage with AI more responsibly.
Join us to:
This event brings together researchers, technologists, and practitioners working at the cutting edge of responsible AI in recruitment. Drawing on the work of the BIAS project — a Horizon Europe-funded (Grant agreement ID: 101070468) initiative combining technical, social science, and legal perspectives — the session will explore how bias in AI and large language models can be detected, measured, and mitigated in real-world HR applications and provide concrete capacity building tools.
Attendees will see a live demonstration of an agentic recruitment platform developed as a proof-of-concept, gain insight into the latest technical developments in bias detection and mitigation across multiple European languages. Furthermore, the BIAS a free, self-paced and certified e-learning course will be introduced: the course is designed to build capacity across a wide range of professional profiles and it is can be a useful tool for employers/organizations to comply with the AI Act regulatory requirements on fostering AI literacy of employees, at least as far as HR/IT staff and Trade Unions representatives are concerned.
All in all, whether you work in HR, AI development, product management, policy, or civil society, this session offers practical insights and tools to help you engage with AI more responsibly.
Join us to:
● Understand how AI bias manifests in recruitment — gain insight into how societal biases can be reflected and amplified by AI models and large language models used in hiring processes
● Explore cutting-edge bias detection and mitigation methods — learn about the latest technical approaches developed by the BIAS project across multiple European languages and disciplines
● See responsible AI in action — get a live demonstration of an agentic recruitment platform built with trustworthy AI principles at its core
● Access free & certified capacity-building resources — discover the BIAS e-learning course and how it can upskill HR professionals, AI practitioners, and civil society organisations in responsible AI recruitment practices
● Navigate the legal and ethical landscape — understand the transparency, accountability, and fundamental rights considerations that should guide AI use in recruitment
Who should attend:
HR professionals, AI practitioners, product managers, project managers, civil society organisations, and anyone interested in responsible and inclusive AI in recruitment.
If you have any questions regarding this event, contact us at events@crowdhelix.com.
Who should attend:
HR professionals, AI practitioners, product managers, project managers, civil society organisations, and anyone interested in responsible and inclusive AI in recruitment.
If you have any questions regarding this event, contact us at events@crowdhelix.com.
Date & Time
Tuesday, June 30th, 11 AM CEST
Agenda
Agenda
Welcome & Opening
Technical Developments in the BIAS Project
Speaker
Mascha Kurpicz-Briki, Professor, Bern University of Applied Sciences
Overview
An overview of the project's research into bias detection and mitigation in AI-driven HR applications and large language models, with a focus on multilingual and interdisciplinary approaches.
Agentic Recruitment Platform: A Proof-of-Concept Demo
Speaker
Soumya Kanti Datta, Founder & CEO, Digiotouch
Overview
A demonstration of an AI-powered recruitment platform developed through the BIAS project, showcasing how trustworthy AI principles can be embedded into real-world hiring tools.
Introducing the BIAS E-Learning Course
Speaker
Maria Giovanna Zamburlini, Project Manager, BIAS Project
Overview
A presentation of the free, self-paced online course "Shaping Responsible and Inclusive AI in Recruitment: A Capacity-Building Journey", covering AI in recruitment, algorithmic bias, transparency, legal accountability, and fundamental rights.
Trustworthy AI Helix Community
Q&A
Register Today
Speakers
Maria Giovanna Zamburlini
Project Manager @ Smart Venice
Maria Giovanna Zamburlini is a project manager with over a decade of experience in EU project development and coordination. She has collaborated closely with public entities and international organisations, including the Council of European Municipalities and Regions. During her tenure at the Municipality of Schaerbeek in Brussels, she was involved in financial reporting, project coordination, consultancy on grant proposal submissions, compliance with funding requirements and deadlines, and capacity building of staff on EU policies and funding schemes.
Mascha Kurpicz-Briki
Professor in computer science, co-leading the Applied Machine Intelligence research group and the Generative AI Lab @ Bern University of Applied Sciences
Mascha Kurpicz-Briki is professor in computer science, co-leading the Applied Machine Intelligence research group and the Generative AI Lab at the Bern University of Applied Sciences in Biel, Switzerland, and working on applied natural language processing (NLP) and machine learning for different use cases. In the BIAS project, she is leading the technical work package. As keynote speaker, author and founder of Makubri Technologies she is engaged in creating formats that make artificial intelligence and digital technologies understandable and engaging.
Soumya Kanti Datta
Founder and CEO @ Digiotouch
Soumya Kanti Datta is the Founder and CEO of Digiotouch. He has 15+ years of R&D and business development experience on AI, Cloud, and Cybersecurity. He has contributed to the R&D projects spanning H2020, Horizon Europe, and French national projects. Soumya is a Senior Member of the IEEE and has received awards for his research and techinical leadership. He actively contributed to the W3C Web of Things Working Groups leading to standardization of WoT architecture and Things Description.
