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AI Fairness Cluster Inaugural Conference

AI Fairness Cluster Inaugural Conference & Workshop on AI Bias: Measurements, Mitigation, Explanation Strategies

Where: Science Park Congress Center Venue, Amsterdam (Netherlands)

AI Fairness Cluster Inaugural Conference

Tuesday, 19th March 2024, 09:00 – 18:00

Four Horizon Europe projects researching on methods to prevent, detect, and mitigate discriminatory risks in AI have recently formed the AI Fairness Cluster: AEQUITAS, BIAS, FINDHR, and MAMMOth. Together, they form a network comprising over 50 institutions across Europe including universities, research centers, non-governmental organizations, large industry players, and SMEs.

The AI Fairness Cluster is planning its inaugural conference on technical, legal, and social aspects of discrimination risks featuring keynote speakers, panelists, and presentations of results from cluster members and other researchers in Europe working on diverse approaches to these issues.

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

Wednesday, 20th March 2024, 09:00 – 18:00

The AI Fairness Cluster is also hosting a technical workshop on AI Biases: Measurements, Mitigation, Explanation Strategies (AIMMES’24). The workshop seeks to foster a technical dialogue and an improved understanding of the challenges and opportunities presented by the intersection of AI, fairness, and bias in our rapidly evolving technological landscape. 

Through a Call for Papers, the workshop will invite submissions from established scientists and graduate students on three main areas: Explaining Bias, Detecting Bias, and Mitigating Bias. Works presented at the workshop will be selected by a Scientific Program Committee. 

The workshop will be co-located with the AI Fairness Cluster Inaugural Conference and will promote the interaction between participants, featuring lightning talks and poster presentations, and seeking to create new connections between researchers on these topics.

Our workshop welcomes in particular contributions around three main areas and several related topics:

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.

Further details about the AIMMES 2024 workshop and the call for papers can be found at:

Submission website:

Deadline for paper submission: January 31st, 2024

Deadline for registrations: 4th March, 2024

If you have any questions, please contact