BIAS Spring School 2024: Advancing Trustworthy and Fair AI
The BIAS Spring School 2025, running from April 7 to 10 in Tallinn, Estonia, will examine AI fairness through ethical, technical, and regulatory lenses, bringing together researchers, industry leaders, and policymakers to drive responsible AI development.
March 18th, 2025 — As Artificial Intelligence continues to shape decision-making across industries, ensuring fairness and transparency is more crucial than ever. The BIAS Spring School on Trustworthy and Fair AI will take place from April 7 to 10, 2025, in Tallinn, Estonia, bringing together leading experts, researchers, policymakers, and practitioners. Hosted as part of the EU-funded BIAS project, this four-day event will delve into key challenges and cutting-edge solutions in AI fairness, transparency, and accountability.
The BIAS Spring School provides a unique platform for academics, industry professionals, and policymakers to engage in thought-provoking discussions, hands-on workshops, and networking opportunities. The event, taking place at Mercure Tallinn, aims to foster interdisciplinary collaboration and equip participants with the knowledge and tools to develop AI systems that are ethical, unbiased, and socially responsible.
Key highlights:
Expert-led lectures and panels: Renowned scholars and AI professionals will share insights on algorithmic bias, AI ethics, and regulatory frameworks.
Capacity-building and interactive workshops: Hands-on sessions will provide practical skills for assessing and mitigating bias in AI models.
Industry & policy perspectives: Discussions on real-world applications and policy implications of fair AI.
Networking opportunities: A chance to connect with leading minds shaping the future of responsible AI.
In conjunction with the Spring School, the “AI Fairness Connect: Networking Reception on Trustworthy AI”, taking place on the 7th of April at 6-9 PM, will provide a dedicated space for professionals, researchers, and policymakers to engage in discussions about fairness and transparency in AI-driven systems. With a particular focus on AI in recruitment processes, this event will facilitate knowledge exchange and foster collaborations between academia, industry, and government representatives.
Who should attend?
The event welcomes researchers, data scientists, AI developers, ethicists, policymakers, and industry professionals with an interest in the ethical development of AI systems. Attendees will be able to interact with experts from multiple disciplines and contribute to shaping the future of responsible AI deployment.
Registration & more information: For details about the event and registration, visit BIAS Spring School Website.
Those unable to attend the BIAS Spring School but interested in joining the AI Fairness Connect: Networking Reception on Trustworthy AI can register here.
About the BIAS Project
Funded by the European Union, the BIAS project is dedicated to addressing algorithmic bias in AI recruitment systems. Through interdisciplinary research, stakeholder engagement, and the development of tools such as the Debiaser, the project seeks to ensure that AI applications foster fairness and inclusivity in the labour market.