Monday June 30

Lecture hall 4

• Active Fourier Auditor for Estimating Distributional Properties of ML Models
  Ayoub Ajarra

• Stochastic Fairness Interventions Are Arbitrary
  Philipp Wolf

Lecture hall 5

• Harmful Impacts of ML: Empirically Triangulating the Concerns and Practices of Developers
  Agathe Balayn

• The Great Data Standoff: Researchers vs. Platforms under the Digital Services Act
  Jacob van de Kerkhof

Moderators: Doris Allhutter & Karolina Sztandar-Sztanderska
Panelists: 

• Bastien Le Querrec (La Quadrature du Net)

• Soizic Penicaud (Observatory of Public Algorithms - Odap.fr)

• Tijmen Wisman (Stichting Platform Bescherming Burgerrechten, Vrije Universiteit Amsterdam) 

• Mateusz Wrotny (Panoptykon Foundation)

The introduction of algorithmic citizen profiling and risk-scoring for purposes such as welfare fraud detection and the allocation of social services has become a widespread practice across Europe. While governments, for instance, introduce laws that oblige social security bodies to prevent social fraud, civil society organizations, data journalists and researchers raise concerns that biased, non-transparent automated risk assessment and profiling affect citizens' privacy and social rights. NGOs demand insight into algorithmic practices used to segment access to welfare or to flag citizens in vulnerable life situations as potential fraudsters. In the Netherlands and France, NGOs and coalitions between data rights organizations, organizations representing disadvantaged groups and unions have taken legal action to defend equal access to social security and the right of citizens to social protection.

This panel brings together representatives from different organizations, interest groups and journalism to discuss how algorithmic systems affect data protection and social rights and to deliberate on strategies that have been successful in gaining transparency and organizing resistance. After the panel discussion, the audience is invited to join the exchange on cases and experiences from different national contexts. The aim of this interactive session is to facilitate a dialogue between the algorithmic fairness community, civil society groups and data journalists to fathom organizing within and across national contexts.

1. Privilege Scores
   Ludwig Bothmann

2. Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective
   Charlotte Leininger

3. Stochastic Fairness Interventions Are Arbitrary
   Philipp Wolf

4. Fairness in Social Influence Maximization via Optimal Transport
   Giulia De Pasquale

5. Algorithmic Transparency: The EU Digital Services Act and Young People's Experiences of Online Platforms
   Megan Nyhan

6. A Benchmark for Client-level Fairness in Federated Learning
   Xenia Heilmann

7. It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act
   Kristof Meding

8. Anticipating Risks and Identifying Governance Measures for the Use of genAI and FPT: Citizens’ Perspectives Across Six Countries
   Chiara Ullstein, Michel Hohendanner

9. Ethical Implications of Mental Health Chatbots: Addressing Anthropomorphism, Deception, and Regulatory Gaps
   Thomas Leis

10. Fake Transparency: When Mobile Apps Say One Thing but Do Another
    Alejandro Pérez-Fuente

11. Medicine After Death: XAI and Algorithmic Fairness Under Label Bias
    Olalekan Joseph Akintande

12. The Great Data Standoff: Researchers vs. Platforms under the Digital Services Act
    Jacob van de Kerkhof

13. Underrepresentation, Label Bias, and Proxies: Data Bias Profiles for the EU AI Act and Beyond
    Alessandro Fabris

14. Working with Intersectional Fairness: A Handbook for Scrum Teams
    Eliza Hobo

15. is xAI generalizable?
    Javier Bustos

16. Is software that is formally verified fair necessarily also genuinely fair?
    Joost J. Joosten

17. BiMi Sheets: Information sheets for bias mitigation methods
    MaryBeth Defrance

18. Two (un)fair scenarios: Administrative Automated Decision-Making in Formal versus Natural Language
    Petia Guintchev Toneva

19. Analyzing the interplay between societal trends and socio- demographic variables with local pattern mining: Discovering exceptional trends in adolescent alcohol use in the Netherlands
    Rianne M. Schouten

20. Probabilistic Circuits with Constraints
    Soroush Ghandi