Opportunity for the BIAS project

Registrations open for the AI Fairness Cluster Inaugural Conference
Tuesday, 19th March 2024, 09:00 – 18:00 CET
Science Park Congress Center, Amsterdam (The Netherlands)

AI technologies reshape industries, promising benefits but also introducing risks like discriminatory biases. The AI Fairness Cluster, comprising four HE projects (AEQUITAS, BIAS, FINDHR, MAMMOth), forms a network with 50+ institutions across Europe. Join our inaugural conference focusing on the technical, legal, and social aspects of discrimination risks, featuring keynote speakers, panellists, and presentations from cluster members and diverse European researchers.


8:45 – 9:00 Registration

9:00 – 9:10 Opening remarks

9:10 – 10:05 First Keynote on AI Fairness

10:05 – 11:00 Second Keynote on AI Fairness

11:00 – 11:30 Coffee break

11:30 – 12:30 Project presentations

12:30 – 13:30 Lunch

13:30 – 14:30 Panel 1 – Representational Harms in Foundation Models

14:45 – 15:45 Panel 2 – Discrimination Risks in Decision-Making using AI

15:45 – 16:00 Coffee break

16:00 – 16:30 Closing remarks and future directions

AIMMES 2024 – Workshop on AI Bias: Measurements, Mitigation, Explanation Strategies

Wednesday, 20th March 2024, 09:00 – 18:00 CET
Science Park Congress Center Venue, Amsterdam (The Netherlands)

The AI Fairness Cluster is hosting a technical workshop, AIMMES’24, on AI Biases: Measurements, Mitigation, Explanation Strategies. This workshop aims to foster a technical dialogue and enhance understanding of challenges and opportunities at the intersection of AI, fairness, and bias in our evolving technological landscape.
Through a Call for Papers, the workshop invites submissions from established scientists and graduate students in three main areas:
• Explaining Bias: new approaches for comprehending, visualising, and communicating bias in datasets and AI systems, domain-specific strategies and use cases for explaining bias, and exploration of Explainable Artificial Intelligence (XAI) tools and software.
• Detecting Bias: novel definitions of AI bias and fairness, the impact of human factors, the role of social sciences, law, and humanities, inclusion of vulnerable communities in bias definition, and methods for studying bias in multi-attribute settings.
• Mitigating Bias: methods for assessing trade-offs between fairness and accuracy, employing synthetic data for bias mitigation, addressing fairness in ranking and recommendation systems, and implementing application-specific mitigation strategies for areas like hiring, credit scoring, and face recognition.
Selected works will be chosen by a scientific program committee.
Co-located with the AI Fairness Cluster Inaugural Conference, the workshop encourages interaction through lightning talks and poster presentations, fostering new connections between researchers on these topics. The agenda will be available very soon.

Deadline for registrations: 4th March 2024

Learn more and register: https://www.biasproject.eu/eve...

This project has received funding from the European Union’s Horizon Europe research and innovation programme under the Grant Agreement 101070468.

Funded by
the European Union

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