AI Fairness Cluster Inaugural Conference & Workshop on AI Bias

AI Fairness Cluster Inaugural Conference

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

Science Park Congress Center Venue, 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.

Agenda*
Content Duration Speaker
Registration 8:45 – 9:00
Opening remarks 9:00 – 9:10 – AI Fairness Cluster organizers
– European Commission
– Maarten de Rijke (UvA)
First Keynote on AI Fairness 9:10 – 10:00 – Joanna Goodey: Head of Research at the EU Agency for Fundamental Rights (FRA)
Second Keynote on AI Fairness 10:05 – 10:55 – Ivana Bartoletti: Wipro (US)
Coffee break 10:55 – 11:30
Project presentations 11:30 – 12:30 – Project AEQUITAS: Roberta Calegari
– Project BIAS: Roger A. Søraa
– Project FINDHR: Carlos Castillo
– Project MAMMOth: Akis Papadopoulos
Lunch 12:30 – 13:30
Panel 1 – ­Representational Harms in Foundation Models 13:30 – 14:30 – Giulia Sudano: President @ Period Think Tank
– Payal Arora: Utrecht University, PI at project FINDHR
– Alexandre Riemann Puttick: Postdoctoral Researcher at BFH and BIAS partner
– Nicu Sebe, University of Trento, coordinator of ELIAS project
Panel 2 – Discrimination Risks in Decision-Making using AI 14:45 – 16:00 – Paksy Plackis-Cheng: Impactmanía
– Eirini Ntoutsi: Bundeswehr University Munich, PI at project MAMMOth
– Catelijne Muller: ALLAI, PI at project AEQUITAS
– Rishabh Mehrotra: UCL
– Krishna Gummadi: Head, Networked Systems Research Group, Max Planck Institute for Software Systems (MPI-SWS)
Coffee break 16:00 – 16:30
Closing remarks and future directions 16:30 – 16:45 TBD

*This is currently a draft agenda, and adjustments will be made as necessary.

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

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

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. Know everything about the AIMMES 2024 workshop and the call for papers HERE.

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.

 

If you have any questions, please contact tamara.vorobyeva@upf.edu.

Deadline for registrations: 4th March 2024

AI Fairness Cluster Inaugural Conference
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